Author: Baturi   |   05 September 2024   |   : 0

Free Download Field Hockey With Gb Hockey Coach, Jamie Kingstone
Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.01 GB | Duration: 2h 1m
Develop the skills you need to be a stronger field hockey player
What you'll learn
Gain an understanding of the key areas of hockey
Learn how to teach dribbling, shooting and passing skills to youth athletes
Develop an understanding of working as a team to create scoring opportunities
Understand how to develop attacking and defending skills and strategies
Requirements
An interest in hockey and a desire to improve your knowledge
Description
In this course, Great Britain scout and coach, Jamie Kingstone will take you step by step through the key components of hockey.Jamie has worked with the Great Britain Hockey team across all age groups giving him a deep understanding of how to develop the skills and tactics required to play hockey at the highest standard. He now runs his own training Hockey Academy, JK Hockey in the UK, working alongside a host of International and Olympic Hockey players.The course will begin by introducing the basic dribbling, and passing and receiving skills that underpin hockey, before learning to apply these skills to develop a strong attack as an individual and as a team.We'll also look at defensive tackling skill and how to guard against attacking players, using individual skills to retrieve the ball, and working as a team pressure the attacking into making difficult passes.The course ends by looking at how to score from a wide range of positions and scenarios around the D and apply the skills learned throughout the course to develop effective game strategies and tactics.We've added in some of Jamie's lesson plans for you to learn some of the drills and progressions he uses to teach some of the skills throughout the course, and we'll provide you with some teaching resources to support your players and students to improve their understanding.By the end of the course, you should understand teach hockey to players at any stage of their development.See you on the pitch!
Overview
Section 1: An Introduction to the Hockey Course
Lecture 1 Welcome from Jamie
Section 2: Dribbling Techniques
Lecture 2 An Introduction to Dribbling
Lecture 3 Forehand Control
Lecture 4 The Indian Dribble
Lecture 5 The V-Drag
Lecture 6 The V-Drag Lesson
Lecture 7 The Pullback
Lecture 8 The Loaded Carry
Section 3: Passing
Lecture 9 An Introduction to Passing
Lecture 10 Tick Tap Passing
Lecture 11 The Push Pass
Lecture 12 The Push Pass Lesson
Lecture 13 The Slap Pass
Lecture 14 The Forehand and Backhand Hit
Lecture 15 The Aerial Pass
Section 4: Receiving Skills
Lecture 16 An Introduction to Receiving
Lecture 17 Wide-Based Receiving
Lecture 18 Receiving Across the Body
Lecture 19 Receiving Across the Body Lesson
Lecture 20 Reverse Stick Receiving
Lecture 21 The Left-Hand Side Receive
Lecture 22 Receiving Bouncing Balls
Section 5: Defending
Lecture 23 An Introduction to Defending
Lecture 24 The Block
Lecture 25 The Reverse Stick Block
Lecture 26 Marking and Intercepting
Lecture 27 Shave Tackling
Lecture 28 Shave Tackling Lesson
Lecture 29 Defending Lifted Balls
Section 6: Shooting
Lecture 30 An Introduction to Shooting
Lecture 31 The Forehand Finish
Lecture 32 Deflections
Lecture 33 Rebounding
Lecture 34 Rebounding Lesson
Lecture 35 Running Forehands and Backhands
Lecture 36 Backspace Shooting
Section 7: Game Play
Lecture 37 An Introduction to Game Play
Lecture 38 Playing with Width
Lecture 39 Attack the Right Side
Lecture 40 Man-to-Man Press
Lecture 41 Pressing Zonally
Lecture 42 The Split Press
New coaches looking to improve their knowledge of the key areas of hockey
Homepage

https://www.udemy.com/course/field-hockey-with-gb-hockey-coach-jamie-kingstone/

  Author: Baturi   |   05 September 2024   |   : 0

Free Download Faculty of Political Sciences Bachelor Diploma Program
Published 9/2024
Duration: 1.49 GB | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 3.41 GB
Genre: eLearning | Language: English
Faculty of Political Sciences Bachelor Dploma and Lesson Credit Transfer Program
What you'll learn
This course meets core undergraduate requirements with all Political Sciences courses and information and additional resources.
This course qualifies the student to obtain a bachelor's degree in Political Sciences.
At the end of this course, a University of Northwest bachelor diploma is awarded "After the necessary conditions are met".
This course leads to a diploma from the University of Northwest, an internationally renowned and prestigious University.
Requirements
To participate in this course, you must be at least a high school or equivalent school graduate.
You must be at least 18 years old to participate in this course.
This course is subject to tuition and graduation fees in addition to the course fee.
Description
About Political Sciences
They deal with political and administrative issues through scientific research and studies. They carry out political and political analyses within Political Science. They examine the relationship between society and the state.
Political science is a branch of social sciences; It consists of the products of studies that aim to investigate the phenomenon of politics in society with scientific methods or philosophical analyses, and to make scientific explanations, critical thoughts, understanding, evaluation and criticism regarding this phenomenon.Jul 16, 2021
While its graduates find job opportunities in the highest positions in banks and private companies as well as public institutions; There are many prime ministers, ministers, deputies, ambassadors, governors, journalists and economists among the graduates of the faculty.
While political science used to conduct research on the concepts of state and power in a narrow sense in the past, today it also examines issues such as the analysis of political decisions, the role of social groups in decision and influence relations, political participation, the relationship between social structure and power, the origin of the state, political change and development.
Politicians propose, support and create laws or policies that govern the country and therefore its people.
The Department of Political Science and Public Administration is concerned with the scientific and rational formation of decision-making and policy-making processes in the state administration system, which includes both central and local administrations.
Graduates gain the title of "Political Scientist".
Politics is the activity of reconciling conflicting ideas in a certain society. This reconciliation activity is realized by the possession of the administrative power.
Politics is, in fact, the fundamental plane where all politics and its relations are determined; power, legitimacy, violence, authority, obedience, order, political and social structures are included in it.
Details About This Course
This course is a combined course consisting of 8 semesters of Faculty of Plitical Sciences lessons and courses. All lessons and assignments are carried out through "distance education." It includes all faculty courses. This course includes the curriculum of the University of Northwest, Faculty of Psychology, and the student who is eligible for graduation will receive his or her diploma from the University of Northwest. Graduation procedures are completed with the lessons and assignments in this course, followed by the presentation of the final thesis, and the student is given his diploma. Those who complete this course will also receive a Udemy certificate.
In order to complete this course and earn a diploma, it is necessary to graduate from at least a high school or equivalent school.
An average of 4 months is given for each of the 8 semesters. Even if the semester is completed before its due date and the course of the next semester is taken, the graduation period normally cannot be less than 3 years, unless there is documentation of previous professional experience or documentation of exemption from courses at the previous school. If documentation of previous professional experience or certification of exemption from courses at the previously attended school is submitted to the University of Northwest Dean's Office during this course, the period may be reduced to at least 2.5 years.
Graduation after completion of this course and completion of courses, homework, and the thesis is subject to education and diploma fees in addition to the fee paid for this course.
Each course imposes obligations on the student with assignments based on educational resources such as text, additional resources, presentations, and pdf documents. Assignments must be completed in the "assignment" section after the lessons and sent to the Education Advisor.
The University of NorthWest is an ISO 9001-certified international university with campuses and representation in 19 different countries, known for excellence, creativity, and an innovative approach to learning. In order to ensure the integrity of career studies in developing and globalizing world conditions, it provides services in distance education and many management programs on its campus. The University of NorthWest has adopted the mission of equal opportunity in education, which is the most important building block of a strong society. Our university, which is accredited by the Ministries of National Education and Higher Education Institutions of different countries, is a World University. With its management campus in Texas, USA, campuses in London, England, and representatives in different countries, it expands its understanding of education in a way that will be accepted by the whole world.
The graduate who completes this course with homework, a thesis, and necessary obligations (including the cost of education not included in this course) and receives a diploma receives the title of "Psychologist".
This diploma course is provided by the Deanship of the University of NorthWest, Türkiye , and diploma approval is provided by the Deanship of the University of NorthWest, Turkey, and the diploma is sent to the student's address from the Central Campus USA.
University of Northwest diplomas are an official document and in official institutions and organizations, the content of the document received (diploma) and this is valid all over the world. The University of Northwest has made an agreement with the Russian International Univeristy of Fundamental Studies, and the update of the agreement will be reported to be reported to the students as the other international university agreements with the University of Northwest and on their return on their return on their return. The University of Northwest continues to make agreements that will benefit from official institutions, organizations, accreditation centers, universities and universities and students in their graduation. These developments are announced to the pages of additional resources that students use while continuing their courses. For example, the details of the London department are included in the aforementioned announcements. California province is also available in the relevant additional resources, and you can officially translate it from the original, to the language of the country you are in. According to USA university regulations, higher education institutions, recognition, equivalence and accreditation conditions vary from state to state. While some states record the universities that have come a distance and distance direct lists, some states expect some criteria to sit more. This is, of course, for countries, and our graduates continue their duties in important positions in important countries and professorship and professor in universities. The University of Northwest is still the first place where it was founded,
UNIVERSITY OF North West Inc., Register No. NON-PROPHITE with 57508
continues its registration as an educational institution. You can access this information from the official website of the Ministry of Foreign Affairs, or you can request this information to reach you officially by means of the Ministry of Foreign Affairs of your country. Again, you can follow more details, announcements under the title of announcements and developments with the links in the course. The University of Northwest is an official education that has grown every day and has proven itself, but continues to make new cooperation in accredited, international agreements and academic studies due to its high targets.
The courses you take in this course are the exemption from the courses you are in the university because they are the lessons you take according to the regulations. In other words, this course has been prepared to count the courses you see in this course, to comply with the regulations and your student conditions.
In addition, you can follow a verification page that you will confirm whether the diploma you have received for the courses seen is valid in the course by directing it to the Rectorate home page and you can get the official output of the diploma verification page.
1. Will I be able to get a diploma at the end of this course?
At the end of this course, you must meet the conditions specified in the "Extra Lesson". You can receive a diploma if you meet the total qualifications of the course and fulfill the additional conditions and additional payments.
2. Will I be able to get a certificate at the end of this course?
At the end of this course, you will only receive a Udemy certificate if you do not meet the conditions specified in the "Extra Lesson".
3. Do I have to pay for another platform with this course?
If you meet the conditions specified in the "Extra Lesson", you can also benefit from the other platform. Other platform subject to additional terms and charges.
4. What is the validity of the diploma?
Information about the validity of your diploma and its accreditation all over the world is stated in detail in the course and the "Lesson Lesson".
5. How long does it take to finish the lessons?
You must complete the courses in at least 2.5 years and at most 4 years.
6. What documents are required to get started?
To get started, you need to upload your last school diploma, passport photo, and identification document.
7. What will I gain at the end of the course?
At the end of the course, you will receive the title and diploma of Psychologist.
8. What will be my professional title when I finish the course and fulfill my other obligations?
At the end of the course, you will receive the title of "Psychologist".
9. If I finish this course early, can I get my diploma early?
Yes, you can finish school early and get your diploma early by making the courses you have previously taken at other schools count, and by providing your professional experience in an official way.
10. What is the total cost of the course?
Course cost is included in the descriptions in the "Extra Lesson".
11. Where can I request documents regarding my student status?
The documents you will request, the request form and the request forms are included in the explanations stated in the "Extra Lesson".
12. Can I make my payments in installments?
Yes, you can make your payments in installments.
13. What does credit transfer mean?
You can transfer the courses you take in the Udemy course to the school for a fee.
14. Will I make payments while converting what I have learned into credit? Is this amount deducted from the total education fee?
You can transfer the courses you take in the Udemy course to the school for a fee. All amounts you pay will be deducted from your payment price.
15. Do I not pay a registration fee because I registered through Udemy?
Since you registered through Udemy, you do not pay a registration fee.
16. Is there any fee other than the diploma fee for graduation?
Graduation conditions and fees are included in the explanations in the "Extra Lesson".
17. At what intervals will my homework be done and where will I send it?
The areas where you will upload your assignments are included in this course.
18. Do my assignments consist of information, texts and books given in the course?
Your assignments consist of the information, texts and books provided in this course.
Who this course is for
This course allows you to acquire your dream job in your home environment, without compromising your work, through distance education.
Homepage

https://www.udemy.com/course/faculty-of-political-sciences-bachelor-diploma-program

  Author: Baturi   |   05 September 2024   |   : 0

Free Download FLUID Principles – Introducing Prompt Engineering & Design
Published 9/2024
Created by Moisés Alexander Salazar Vila
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 33 Lectures ( 2h 4m ) | Size: 945 MB
Master FLUID Principles to design efficient prompts for AI chatbots like ChatGPT, Copilot, Gemini, Perplexity and beyond
What you'll learn:
Identify and address vagueness, incompleteness, and irrelevancy in prompts
Develop targeted and relevant prompts by enhancing your focus in prompt design
Sharpen your skills with demos that show how to overcome common pitfalls in prompt design
Execute creative prompting techniques, including conceptual blending and stylistic transplantation
Uncover new possibilities through counterfactual prompts and explore their applications
Learn ethical principles for responsible AI and apply them to your prompt design work
Tackle miscommunication, inconsistency, and pertinence deficits to boost prompt accuracy
Clarify specialized vocabulary and concepts to ensure mutual understanding
Define tone, structure, format, detail level, and expertise to guide model output
Gain a deep understanding of problem and model understanding issues in prompt engineering
Evaluate and refine your prompts using industry-standard metrics and quality assessment techniques
Master the iterative prompt refinement process to continuously improve your prompt design skills
Requirements:
No prior experience with AI or programming is required
A willingness to learn and an eagerness to explore AI's possibilities
Description:
This course is your gateway to mastering the art of prompt engineering, enabling you to unlock the full potential of Large Language Models and AI chatbots like ChatGPT, Microsoft Copilot, Google Gemini, Perplexity AI, Meta AI, Anthropic Claude and others. Tailored for a wide range of individuals, this course welcomes everyone, regardless of background or experience. Whether you're an entrepreneur looking to boost productivity, a student preparing for a future-proof career, or simply a curious learner interested in AI, this course offers an engaging and accessible learning journey. With no prior technical knowledge required, anyone can dive in and start crafting impactful prompts that produce exceptional results.The course is especially beneficial for professionals aiming to integrate AI into their businesses. The skills you acquire here will revolutionize the way you work with AI tools. You'll discover how to craft prompts that yield creative, relevant, and highly efficient outputs, giving you a competitive edge in any field. Entrepreneurs and startup owners can accelerate their growth by using AI to solve complex problems, while freelancers and tech professionals will find new opportunities to enhance their careers through prompt engineering.Throughout this course, you will explore a diverse range of prompt engineering techniques, each designed to tackle specific challenges and enhance your prompt design skills. You'll learn how to develop targeted and relevant prompts that address various business and creative needs, from content creation to research and customer service. The course also delves into creative prompting methods like conceptual blending and stylistic transplantation, showing you how to push the boundaries of AI-generated content. Ethical principles are also covered, ensuring that your work is not only effective, but also responsible and in line with best practices.The course is designed in a highly practical format, combining online video lessons with engaging theory and hands-on demonstrations. These demos will guide you through overcoming common pitfalls in prompt design, enabling you to sharpen your skills with real-world examples. You'll also uncover new possibilities through counterfactual prompts, learning how to experiment with AI in innovative ways. Whether you are interested in everyday applications or advanced creative endeavors, this course provides the tools you need to make the most of large language models.One of the course's standout features is its focus on refining prompts for accuracy and effectiveness. You'll learn how to tackle issues such as vagueness, incompleteness, irrelevancy, miscommunication, inconsistency, and pertinence deficits, ensuring that your prompts consistently generate high-quality and contextually appropriate outputs. With a strong emphasis on understanding both the problem and the large language model behavior, you'll be able to evaluate and refine your prompts using industry-standard metrics and quality assessment techniques. The iterative prompt refinement process will empower you to continuously improve your skills, making you a confident and proficient prompt designer.This online course is designed to fit around your busy schedule, with video lessons that can be completed at your own pace and convenience. Whether you're aiming to disrupt your industry, enhance your productivity, or simply explore the fascinating world of AI, this course provides a solid foundation in prompt engineering. All you need is a willingness to learn and an eagerness to explore the possibilities that AI offers—no prior experience with AI or programming is required. By the end of the course, you will have mastered the skills necessary to effectively interact with large language models and use them to their fullest potential, opening up new opportunities in your personal and professional life.
Who this course is for:
Entrepreneurs and startup owners looking to integrate AI into their business and solve complex problems
Students preparing for a future-proof career in AI and related fields
Professionals aiming to enhance productivity and gain a competitive edge through AI
Freelancers and tech professionals seeking new opportunities to improve their careers via prompt engineering
Curious learners interested in AI and willing to explore its potential without any technical background
Homepage

https://www.udemy.com/course/fluid-design/

  Author: Baturi   |   05 September 2024   |   : 0

Free Download ETL on Cloud Platforms Azure, AWS & GCP
Published 9/2024
Created by Phuzo Soko
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 25 Lectures ( 5h 7m ) | Size: 2.68 GB
Developing ETLs on Azure, Amazon Web Services (AWS) and Google Cloud Platform (GCP)
What you'll learn:
General understanding of Data Integration in Azure, Amazon Web Services, Google Cloud Platform
To gain the ability to muster necessary services in Azure, Amazon Web Services, Google Cloud Platform to create a funtional ETL
To be able to justify the choice of Data Integration services selected for a particular use case
To be able to create a functional ETL in Azure, Amazon Web Services, Google Cloud Platform using the available services
Requirements:
Previous ETL experience is needed. However a keen beginner could follow and be able to attain the learning outcomes stipulated above
Previous experience in the Data Ecosystem areas such Data Engineering, Data warehousing or Business Intelligence to whom ETL is not a new concept. However, those who are keen to get their hands dirty without the said prerequisites can also benefit from the course if they follow it closely and enrich its contents with other resources
Description:
The course "ETLs on Cloud Platforms Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP)" is designed to provide a comprehensive understanding of Extract, Transform, Load (ETL) processes across the three most widely used cloud platforms. The primary objective is to equip learners with the knowledge and skills to effectively design, develop, and manage ETL pipelines on Azure, AWS, and GCP, each of which offers unique tools and services for data integration.The course starts by building a strong foundation in ETL fundamentals, helping learners understand the principles of extracting data from various sources, transforming it into usable formats, and loading it into target systems. It then delves into the specific ETL tools and services provided by each cloud platform—Azure Data Factory, AWS Glue, and Google Cloud Data Fusion—ensuring that students can navigate and utilize these platforms effectively.One of the key focuses of the course is on building scalable and efficient data pipelines that can handle large-scale data processing tasks. It also emphasizes optimization techniques for enhancing performance while minimizing costs, an essential aspect of cloud-based ETL operations. Moreover, the course covers best practices for ensuring data security and compliance with industry regulations, which is critical in today's data-driven world.Hands-on experience is a significant component of the course, with real-world scenarios that enable learners to apply what they've learned in practical settings. Additionally, the course explores cross-platform interoperability, teaching students how to design ETL processes that can operate seamlessly across Azure, AWS, and GCP.By the end of the course, participants will be equipped with the expertise to implement robust and efficient ETL solutions on any of these cloud platforms, preparing them for advanced roles in cloud data engineering and enhancing their career prospects in the rapidly evolving field of cloud computing.
Who this course is for:
Intermediate to advanced Data Engineering, Data warehousing or Business Intelligence Developers
Homepage

https://www.udemy.com/course/etl-on-cloud-platforms-azure-aws-gcp/

  Author: Baturi   |   05 September 2024   |   : 0

Free Download Diploma In Child Counselling
Published 9/2024
Duration: 1h50m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 676 MB
Genre: eLearning | Language: English
A Comprehensive Guide to Empower Young Minds
What you'll learn
Child Counsellor in Schools or Educational Institutions
Child and Youth Support Worker
Play Therapist
Child Mental Health Advocate
Primary School Teachers
Nursery Staff
Child Welfare Officer
Requirements
Internet
Basic English
Description
Welcome to our Child Counselling Course on Udemy! This enriching and insightful program is designed to equip you with the knowledge and skills necessary to make a lasting impact on the lives of children facing emotional, behavioral, and psychological challenges.
In this course, you'll delve into the fascinating world of child psychology, learning about their unique emotional development, attachment theories, and the impact of childhood traumas. Our expert instructors will guide you through effective counseling techniques tailored specifically for children, including play therapy, expressive arts therapy, and cognitive-behavioral therapy (CBT).
With a focus on childhood disorders, you'll explore strategies to address ADHD, anxiety, depression, autism spectrum disorder (ASD), and childhood trauma in a supportive and compassionate manner. The course also emphasizes the importance of family systems and parent counseling, enabling you to collaborate effectively with families to support a child's progress.
Upon successful completion of this course, you'll receive a certificate, recognizing your expertise in child counseling. Whether you're a teacher, parent, or aspiring child counselor, this program empowers you to create positive change and foster the well-being of our future generations.
Join us on this transformative journey of understanding young minds and making a meaningful difference in the lives of children. Enroll now and become a valued advocate for the emotional and mental health of the next generation.
Who this course is for
Teachers, Social Workers, Paediatrics Nursing Staff, Nursery Staff , Child Care Staff etc
Homepage

https://www.udemy.com/course/diploma-in-child-counselling

  Author: Baturi   |   05 September 2024   |   : 0

Free Download Deep Data Science AIML End to End Master Class TM
Published 9/2024
Duration: 10h18m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 3.85 GB
Genre: eLearning | Language: English
Real time case study
What you'll learn
Introduction to Data Science
Data Science Session Part 2 Overview
Data Science Vs Traditional Analysis Overview
Data Scientist Introduction to the role of a Data Scientist, including skills, tools, and responsibilities.
Data Science Process Overview
Introduction to Python for Data Science Overview
Python Libraries for Data Science Overview
Introduction to R for Data Science
Requirements
Anyone can learn this class it is very simple.
Description
1. Introduction to Data Science
Overview:-
This section provides a broad introduction to Data Science, its significance, and its impact across various industries.
Topics Covered:-
What is Data Science?
The Importance of Data in the Modern World
Applications of Data Science in Various Domains
Key Roles in Data Science: Data Scientists, Data Engineers, and Data Analysts
Learning Outcomes:-
Understand the basics of Data Science and its relevance.
Identify key roles and applications of Data Science.
2. Data Science Session Part 2
Overview:-
A continuation of the introduction, diving deeper into the tools and technologies used in Data Science.
Topics Covered:-
Overview of Data Science Tools and Technologies
Introduction to Data Wrangling, Exploration, and Visualization
Understanding Big Data and its Challenges
Real-World Case Studies in Data Science
Learning Outcomes:-
Gain insight into the tools and techniques used in Data Science.
Analyze real-world examples of Data Science in action.
3. Data Science Vs Traditional Analysis
Overview:-
This section contrasts Data Science with traditional data analysis techniques, highlighting the differences and advancements.
Topics Covered:-
Traditional Data Analysis Techniques
Evolution from Traditional Analysis to Data Science
Differences in Methodology, Tools, and Outcomes
Advantages of Data Science over Traditional Analysis
Learning Outcomes:-
Understand the evolution from traditional analysis to Data Science.
Identify the key differences and advantages of Data Science.
4. Data Scientist Part 1
Overview:-
Introduction to the role of a Data Scientist, including skills, tools, and responsibilities.
Topics Covered:-
Who is a Data Scientist?
Essential Skills for Data Scientists: Programming, Statistics, and Domain Knowledge
Common Tools Used by Data Scientists
The Day-to-Day Responsibilities of a Data Scientist
Learning Outcomes:-
Understand the role and importance of a Data Scientist.
Identify the essential skills and tools required for a Data Scientist.
5. Data Scientist Part 2
Overview:-
A deeper dive into the practical aspects of being a Data Scientist, including challenges and career opportunities.
Topics Covered:-
Challenges Faced by Data Scientists
Ethical Considerations in Data Science
Career Pathways and Growth Opportunities for Data Scientists
Building a Portfolio and Gaining Practical Experience
Learning Outcomes:-
Gain insight into the challenges and ethical considerations in Data Science.
Learn about career opportunities and how to build a strong Data Science portfolio.
6. Data Science Process Overview
Overview:-
An overview of the Data Science process, including stages and methodologies.
Topics Covered:-
The Data Science Lifecycle
Understanding Data Collection and Data Cleaning
Exploratory Data Analysis (EDA)
Model Building and Evaluation
Deployment and Monitoring of Data Science Models
Learning Outcomes:-
Understand the stages involved in the Data Science process.
Gain a high-level understanding of each step from data collection to model deployment.
7. Data Science Process Overview Part 2
Overview:-
Continuation of the Data Science process, focusing on more advanced concepts and tools.
Topics Covered:-
Advanced Data Cleaning Techniques
Feature Engineering and Selection
Hyperparameter Tuning and Model Optimization
Introduction to Model Interpretability
Post-Deployment Monitoring and Maintenance
Learning Outcomes:-
Master advanced techniques in the Data Science process.
Learn how to optimize models and ensure they remain effective post-deployment.
8. Introduction to Python for Data Science
Overview:-
This section introduces Python as a primary tool for Data Science.
Topics Covered:-
Why Python for Data Science?
Setting Up the Python Environment for Data Science
Introduction to Jupyter Notebooks
Basic Python Syntax and Operations
Overview of Python Libraries for Data Science
Learning Outcomes:-
Set up and use Python for Data Science tasks.
Write basic Python code and use Jupyter Notebooks.
9. Python Libraries for Data Science
Overview:-
A focused introduction to essential Python libraries used in Data Science.
Topics Covered
Overview of NumPy, Pandas, Matplotlib, and Seaborn
Working with NumPy Arrays
Data Manipulation with Pandas
Data Visualization with Matplotlib and Seaborn
Introduction to SciPy and Scikit-Learn for Machine Learning
Learning Outcomes:-
Gain proficiency in using essential Python libraries for data manipulation and visualization.
Prepare data for analysis and build simple visualizations.
10. Introduction to R for Data Science
Overview:-
Introduces R as an alternative tool for Data Science, focusing on its strengths and ecosystem.
Topics Covered:-
Why R for Data Science?
Setting Up the R Environment
Basic R Syntax and Operations
Introduction to RStudio
Overview of R Libraries for Data Science (e.g., dplyr, ggplot2)
Learning Outcomes:-
Set up and use R for Data Science tasks.
Write basic R code and use RStudio effectively.
Who this course is for
Anyone who wants to learn future skills and become Data Scientist, Ai Scientist, Ai Engineer, Ai Researcher & Ai Expert.
Homepage

https://www.udemy.com/course/deep-data-science-aiml-end-to-end-master-class-tm

  Author: Baturi   |   05 September 2024   |   : 0

Free Download Data Quality Management – A Primer
Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 336.17 MB | Duration: 2h 30m
Data Quality, Quality Measurement Dimensions, Quality Management Functions, Quality Scorecard, Best Practices and more
What you'll learn
Understand fundamentals of Data Quality Management
Importance of Data Quality and impact on businesses
Real Examples : Highlighting cost of poor quality data
Develop skills to measure, monitor, communicate, and manage Data Quality effectively
Gain knowledge on data profiling, cleansing, and using a Data Quality Scorecard
Talk with confidence when it comes to Data Quality Management
Requirements
No Prior Data Knowledge Required
Interest in Learning About Data Quality
Curiosity to Understand How Data Quality Impacts Business
Description
"Data Quality Management: A Primer" is your essential guide to the principles and practices of effective Data Quality Management. Designed for beginners, this course provides a comprehensive introduction to the key concepts and strategies needed to ensure high Data Quality.In this course, we'll explore:Understanding Data Quality & Measurement Dimensions: Delve into the fundamental dimensions of Data Quality such as accuracy, completeness, consistency, and timeliness. Learn how to evaluate and improve Data Quality in various contexts.Implementing Effective Data Quality Processes: Understand processes for data profiling, cleansing, validation, and monitoring. Learn how to establish and maintain processes that ensure data remains reliable and valuable.Utilizing the Data Quality Scorecard: Understand how to use a Data Quality Scorecard to provide a clear snapshot of data quality, track progress, and identify areas needing improvement. Learn the importance of Data Quality and the significant cost implications of poor data quality on organizational performance.Exploring the Impact of Data Quality on Business Decisions: Examine how high-quality data supports better decision-making and operational efficiency, and understand the broader impact of data quality on business success. We will also go through real examples highlighting the cost of poor data quality. Recognizing Common Data Quality Challenges: Identify common pitfalls and challenges in data quality management and more.
Overview
Section 1: Introduction
Lecture 1 Who is this course for?
Lecture 2 Prerequisite for taking up this course
Lecture 3 Course Structure
Section 2: Introduction to Data Management & Data Quality Management
Lecture 4 Data Management - Big Picture
Lecture 5 What is Data Quality Management?
Lecture 6 What is Data Quality?
Lecture 7 Importance of Data Quality
Lecture 8 Cost of Poor Data Quality : Real Examples
Lecture 9 Summary
Section 3: Data Quality Measurement Dimensions
Lecture 10 What is Data Quality Measurement Dimensions?
Lecture 11 Accuracy
Lecture 12 Completeness
Lecture 13 Consistency
Lecture 14 Timeliness
Lecture 15 Validity
Lecture 16 Uniqueness
Lecture 17 Summary
Section 4: Data Quality Scorecard
Lecture 18 Introduction to Data Quality Scorecard
Lecture 19 Structure of Scorecard
Lecture 20 Best Practices
Lecture 21 Summary
Section 5: Data Quality Management Functions
Lecture 22 Introduction
Lecture 23 Data Profiling Introduction
Lecture 24 Data Profiling Process
Lecture 25 Data Quality Monitoring & Testing
Lecture 26 Data Cleansing
Lecture 27 Data Standardisation
Lecture 28 Root Cause Analysis
Lecture 29 Change Management
Lecture 30 Data Stewardship
Lecture 31 Summary
Section 6: Data Quality Tools and Mistakes to Avoid
Lecture 32 Common Mistakes : Data Quality Management
Lecture 33 Data Quality Tools
Lecture 34 Data Quality Tools : Example
Section 7: Wrap up
Lecture 35 Thank you
Data Pipeline Developers,Data Pipeline Testers,Business Analysts,Data Project/Product Managers,Anyone interested to learn about Data Quality Management
Homepage

https://www.udemy.com/course/data-quality-management-a-primer/

  Author: Baturi   |   05 September 2024   |   : 0

Free Download Data Analysis Masterclass – Real–World Pandas Coding
Published 9/2024
Duration: 4h21m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 1.54 GB
Genre: eLearning | Language: English
Master Pandas: Real-World Data Cleaning, Feature Engineering, Visualisation, Statistical Analysis Challenges
What you'll learn
Be proficient in using the pandas library which includes data loading, exploring, cleaning and a variety of data manipulation techniques.
Develop proficiency in identifying and handling missing or inconsistent data, including techniques for folling, interpolating, and removing missing values.
Learn how to create new features (feature engineering) from existing data to enhance the dataset and improve the quality of the analysis.
Gain the ability to create insightful visualisations using pandas integrated plitting capabilities and additional libraries like Seaborn.
Understand how to perform various statistical tests to analyse the data, including descriptive statistics, correlation, and hypothesis testing.
Apply all the cocepts learned through practical, hands-on experience using a real-world dataset from Kaggle.
Requirements
Basic understanding of Python (data types: familiarity with fundamental data types such as integers, floats, strings, lists and dictoinaries; variables: understanding how to declate and use variables; loops: basic knowledge of for loops; conditional statements: basic knowledge of if-statements; functions: ability to write and call functions, including passing arguments and returning values).
Only a computer and an internet connection needed, as well as a Google account.
Description
Welcome to the "Pandas Masterclass: Hands-On Data Analysis Challenges"! This course is designed to bridge the gap between theoretical knowledge and practical application by immersing you in real-world data analysis from day one. Unlike traditional courses that focus on isolated examples, this masterclass centers around a single dataset that you'll work with throughout the course, mirroring the real-world experience of receiving and analysing data from a client.
You'll dive deep into hands-on coding with Pandas, tackling real-world challenges such as handling missing values, correcting parsing errors, and dealing with incorrectly formatted data. As you progress, you'll learn how to perform essential data analysis tasks, including feature engineering, data visualisation, and basic statistical correlation analysis.
What sets this course apart is its emphasis on truly understanding a dataset, just as you would in a real-world scenario. You'll not only gain technical skills but also develop an analytical mindset, enabling you to approach data problems with
confidence
and
creativity
.
This course is not a substitute for a university-level data analysis class but rather a powerful complement that enhances your practical skills. By the end, you'll have the confidence to handle messy datasets and extract meaningful insights—just like a professional data analyst in the field.
Who this course is for
Aspiring data analysts who want to start from the basics
Intermediate data analysis looking to reifne their skills and learn new techniques
University students who need practical experience with data analysis tools
Researchers and academics who want to incorporate data analysis into their work
Career changers looking to transition into a data-focused role
Hobbysists and enthusiasts with a general interest in data and want to understand how to analyse and interpret data using Python
Homepage

https://www.udemy.com/course/data-analysis-masterclass-real-world-pandas-coding

  Author: Baturi   |   05 September 2024   |   : 0

Free Download DAX BASICS in Power BI Desktop
Published 9/2024
Created by Nestor Adrianzen
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 63 Lectures ( 2h 48m ) | Size: 1.26 GB
Learn DAX basics in Power BI Desktop, and learn it very well!
What you'll learn:
Learn how DAX works in Power BI Desktop
Learn evaluation contexts in Power BI Desktop
Learn the difference between calculated columns and measures
Learn the key DAX functions in Power BI Desktop
Learn how to create a calendar table by using DAX calculations
Learn how to perform time intelligence calculations
Understand the basics of visual calculations (simpler DAX)
Requirements:
Basic knowledge of Excel formulas
Be familiar with Power BI Desktop
Description:
This DAX Basics in Power BI Desktop course will teach you how to perform DAX calculations like a pro. You will learn the difference between calculated columns and measures, evaluation context, context transition, virtual tables, variables, time intelligence calculations, etc.DAX can be scary, but it shouldn't be that way. Data Analysis eXpressions (DAX) knowledge is critical to take full advantage of data in Power BI. Trying to master DAX without learning the basics is a mistake I have seen Power BI developers make very often. If you want to master DAX, learning the basic key concepts is a must.DAX is a unique programming language and it's easy to give up if you are not committed to learning it. Most users find DAX difficult to understand. This is true, especially for users with a background in Excel and SQL. In Excel and SQL you can see how the formulas/queries work; whereas, in DAX everything happens behind the scenes. Therefore, in this course, one of my goals is to teach you how to overcome the common pitfalls and face DAX calculations with confidence moving forward.If you are ready to dive deeper into the DAX language, this is the time to join my DAX Basics in Power BI Desktop course.See you in class!
Who this course is for:
Power BI developers
Power BI consultants
Data analysts
Business analysts
Homepage

https://www.udemy.com/course/dax-basics-in-power-bi-desktop/

  Author: Baturi   |   05 September 2024   |   : 0

Free Download Cyber security Career Switch – Fast Track to Success – Part 02
Published 9/2024
Duration: 3h5m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 798 MB
Genre: eLearning | Language: English
Cybersecurity Series: Auditing, Consulting, and Roles in Law Enforcement and Intelligence Agencies
What you'll learn
Step-by-Step Guidance: We'll guide you through the path to becoming a cybersecurity analyst, engineer, and eventually, an architect or consultant.
Practical Insights: Learn how to break into various Security Analyst roles, tools, skill required, with needed certifications.
Advanced Career Moves: Understand how to transition into higher-paying roles like various Cybersecurity Engineering roles, mastering skillset and career paths.
Architect Fast-Track: Discover how to quickly advance to design and architect roles, developing secure network infrastructures and implementation plans.
Requirements
No Prior Experience Needed – Just a Passion for Cybersecurity Career!
Description
This series is designed to help individuals transition into high-impact cybersecurity roles in auditing, consulting, law enforcement, intelligence agencies, and forensic investigation. These roles not only offer lucrative career opportunities but also provide a chance to work on the front lines of cyber defense, protecting national security and critical infrastructure.
Evaluating the security of an organization's IT systems and processes to ensure compliance with policies and regulations.
Investigating cybercrimes such as hacking, fraud, and identity theft, and gathering evidence for prosecution.
Analyzing cyber threats and intelligence to support national security and defense operations.
Recovering and analyzing data from digital devices to support investigations and legal cases.
Developing and implementing plans to ensure business continuity and recovery in the event of a disaster or cyber incident.
Providing expert advice on cybersecurity best practices and solutions to various clients.
Encouragement
: "Join our mentorship program and take the first step towards a rewarding career in cybersecurity. With the right guidance and resources, you can transform your career and make a significant impact in the field.
Testimonial:
Zachary Hamilton
Rating
5.0 out of 5
This cybersecurity mentoring class was exactly what I needed! After spending the past year diving into cybersecurity, I still lacked a clear idea of what to expect from the numerous positions in the field. This class provided valuable guidance on what to focus on for various roles and the possible paths to get there. Highly recommend it for anyone serious about their cybersecurity career!
Who this course is for
This course is ideal for career changers looking to transition into a high-paying cybersecurity career, beginners with no prior experience who want to start in cybersecurity, and IT professionals aiming to specialize for better opportunities. It's also perfect for recent graduates seeking to enter the job market with competitive skills and tech enthusiasts passionate about technology and cybersecurity. No prior experience is required—just a willingness to learn and a drive to succeed.
Homepage

https://www.udemy.com/course/cyber-security-career-switch-fast-track-to-success-part-02/