Data Science Meets Power BI: Transforming Data into Insights

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Enterprise DNA,Sam McKay

15:48:01

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1. Python Fundamentals and Data Manipulation

1.1 2mq-python-for-power-bi-users-resource-pack.zip

1. Python Fundamentals Resource Pack.html

2. User-interface updates to be aware of.html

3. Introduction to Python and Power BI.mp4

01:42

4. Setting Up Anaconda Your Python Environment.mp4

10:18

5. Mastering Dictionaries and Dataframes in Python.mp4

19:39

6. Essential Dataframe Functions for Data Manipulation.mp4

12:07

7. Combining and Filtering Data in Python.mp4

45:46

8. Python Fundamentals and Data Manipulation - Review.html

9. Python Fundamentals and Data Manipulation - Quiz.html

2. Python Advanced Concepts and Visualization with Power BI

1. Data Visualization Unleashing the Power of Python.mp4

27:26

2. Exploring Three Ways to Harness Python Scripting.mp4

22:23

3. Python Visuals and Spyder IDE A Dynamic Duo.mp4

23:12

4. Harnessing the Potential of Date Tables in Python.mp4

28:13

5. Creating Python-Enhanced Reports Part A.mp4

46:26

6. Creating Python-Enhanced Reports Part B.mp4

18:01

7. Python Advanced Concepts and Visualization with Power BI - Review.html

8. Python Advanced Concepts and Visualization with Power BI - Quiz.html

3. Python Datasets and String Functions

1. Introduction to Datasets and String Functions.mp4

20:34

2.1 sFJ-python-ii-resource-pack.zip

2. Datasets and String Functions Resource Pack.html

3. Boosting Efficiency with Intellisense and AutoComplete for Jupyter Notebook.mp4

04:50

4. Mastering User-Defined Functions in Python.mp4

17:05

5. Building Cleaning Functions for Data Preprocessing.mp4

11:03

6. Visualizing Cleaned Data Unveiling Patterns and Insights.mp4

40:49

7. Building an Interactive Heatmap Dashboard in Python.mp4

25:51

8. Lists and For Loops Harnessing the Power of Iteration.mp4

12:21

9. Python Datasets and String Functions - Review.html

10. Python Datasets and String Functions - Quiz.html

4. Text Analysis in Python

1. Introduction to Text Analysis.mp4

19:01

2. Lemmatization in Text Analysis.mp4

03:56

3. Cleaning Text and Analyzing Word Frequency.mp4

55:28

4. Word Cloud Generation in Text Analysis.mp4

24:28

5. Creating Shaped Word Clouds in Text Analysis.mp4

11:45

6. Sentiment Analysis Application in Text Analysis.mp4

19:09

7. Building a Text Analysis Dashboard Part 1.mp4

42:00

8. Building a Text Analysis Dashboard Part 2.mp4

02:11

9. Text Analysis in Python - Review.html

10. Text Analysis in Python - Quiz.html

5. Introduction to R in Power BI

1.1 nE9-introduction-to-r-in-power-bi-resource-pack.zip

1. R in Power BI - Resource Pack.html

2. Getting Ready for R in Power BI.mp4

03:09

3. The Power of R in Power BI Why it Matters.mp4

04:55

4. Installing R and RStudio Your R Development Environment.mp4

06:44

5. First Steps in RStudio Navigating the R Interface.mp4

08:46

6. Configuring R with Power BI Seamless Integration.mp4

02:54

7. How R Talks with Power BI Bridging the Gap.mp4

11:17

8. Introduction to R in Power BI - Review.html

9. Introduction to R in Power BI - Quiz.html

6. Fundamentals of R Programming

1.1 zvM-fundamentals-of-r-programming-resource-pack.zip

1. Fundamentals of R Programming Resource Pack.html

2. Working with Objects Building Blocks of R.mp4

05:13

3. Object Classes Exploring Rs Data Structures.mp4

05:23

4. Manipulating Vectors Essential Techniques in R.mp4

05:05

5. Data Frames Managing Structured Data in R.mp4

06:39

6. Working with Factors Handling Categorical Data in R.mp4

05:09

7. Exploring Packages Expanding Rs Functionality.mp4

12:17

8. Locating Helpful Packages Navigating the R Ecosystem.mp4

05:45

9. Data Manipulation Row Operations with dplyr in R.mp4

10:11

10. Data Manipulation Column Operations with dplyr in R.mp4

10:24

11. Data Manipulation Pipe Operations with dplyr in R.mp4

07:31

12. Fundamentals of R Programming - Review.html

13. Fundamentals of R Programming - Quiz.html

7. Data Visualization in R

1.1 qg9-data-visualization-in-r-resources-files.zip

1. Data Visualization in R Resource Pack.html

2. Introduction to ggplot2 Creating Stunning Visualizations.mp4

10:48

3. Plotting with esquisse Simplifying Data Visualization in R.mp4

07:51

4. Bivariate Visualizations Uncovering Relationships in Data.mp4

08:50

5. Labels, Colors, and Themes Customizing Visual Elements in R.mp4

06:53

6. Interactive R Visualization Engaging Dashboards and Reports.mp4

06:58

7. Data Visualization in R - Review.html

8. Data Visualization in R - Quiz.html

8. R Enhanced Power BI and Intermediate Topics

1.1 CGo-capstone-r-enhanced-power-bi-resource-pack.zip

1. Capstone R Enhanced Power BI Resource Pack.html

2. Capstone Introduction Setting the Stage for Your R Power BI Project.mp4

04:02

3. Building the Histogram Analyzing Data Distributions.mp4

07:49

4. Building the T-Test Hypothesis Testing in R.mp4

07:30

5. Building the Power BI Report Integrating R Visuals.mp4

09:49

6.1 EZ3-conclusion-and-next-steps-resource-pack.zip

6. Additional Topics Resource Pack.html

7. Troubleshooting R Common Issues and Solutions.mp4

07:38

8. Making a Reprex Streamlining Reproducible Examples in R.mp4

06:03

9. Learning Resources Furthering Your R and Power BI Skills.mp4

07:03

10. R Enhanced Power BI and Intermediate Topics - Review.html

11. R Enhanced Power BI and Intermediate Topics - Quiz.html

9. Text, Correlation & Regression

1. String Basics in R Manipulating and Analyzing Text Data.mp4

10:41

2. Rebus Basics Regular Expressions Made Easy.mp4

08:46

3. Stringr + Rebus Advanced Text Processing in R.mp4

07:43

4. Using R Text Features inside Power BI Text Analytics and NLP.mp4

05:09

5. Correlation Analysis Uncovering Relationships in Data.mp4

13:02

6. Bivariate Regression Modeling Relationships between Variables.mp4

09:21

7. Multiple Regression Predicting Outcomes with Multiple Variables.mp4

14:14

8. Making Predictions Applying Machine Learning Models in R.mp4

10:04

9. Text, Correlation & Regression - Review.html

10. Text, Correlation & Regression - Quiz.html

10. Advanced R Concepts

1.1 intermediate-r-resource-pack.zip

1. Advanced R Concepts resource.html

2. Introduction to Advanced R Techniques Exploring Advanced Plot Types.mp4

03:12

3. Jitterplots Visualizing Distributions and Relationships.mp4

08:44

4. Lollipop Charts Displaying Categorical Comparisons.mp4

08:51

5. Smoothing Plots Visualizing Trends and Patterns.mp4

05:59

6. Working with RDS Files Efficient Data Storage and Retrieval.mp4

09:26

7. Timing Performance Optimizing R Code for Efficiency.mp4

06:41

8. Mastering data.table Advanced Data Manipulation in R.mp4

08:58

9. Scheduling R Scripts Automating Tasks with R.mp4

12:55

10. Advanced R Concepts - Review.html

11. Advanced R Concepts - Quiz.html

11. Capstone Project Implementing Concepts

1. Preparing R Datasets Data Cleaning and Transformation.mp4

07:21

2. Inserting the R Visuals Enhancing Power BI Reports with R Output.mp4

12:25

3. Building the Predictive Model Implementing Machine Learning in Power BI.mp4

06:27

4. Capstone Wrap-up Showcasing Your R Power BI Project.mp4

05:57

5. Conclusion.mp4

03:45

6. Congratulations and Next Steps.html

Description

Master Python, R, and Power BI: Comprehensive Data Analytics and Visualisation Techniques for the Modern Analyst

What You'll Learn?

Master integration of Python and R into Power BI for enhanced data analysis and visualizations.
Acquire skills in using IDEs for script creation, testing, and debugging in Python and R.
Understand how to apply Natural Language Processing (NLP) concepts and handle large datasets effectively.
Gain expertise in creating custom functions, performing advanced statistical analyses, and creating intricate visualizations not native to Power BI.

Who is this for?

Beginners in Data Science: Aspiring data scientists with little to no coding experience will find this course valuable as it provides a solid foundation in Python, R, and Power BI.

Power BI Users: Individuals already using Power BI for data analysis and visualization, but looking to enhance their capabilities by integrating Python and R for more advanced statistical analysis and data visualizations.

Data Analysts: Professionals already working in the field of data analysis who want to broaden their skill set with the use of Python, R, and Power BI.

Business Intelligence Professionals: Those involved in BI who want to augment their analysis skills and deliver deeper insights using Power BI, Python, and R.

Students: Individuals studying fields like computer science, statistics, or business who want to complement their academic knowledge with practical, industry-relevant skills in data science and visualization.

What You Need to Know?

Basic familiarity with Power BI and its functionalities.

An understanding of descriptive and inferential statistics is helpful but not necessary.

A personal computer with internet access to download the necessary software (Python, R, Power BI, and relevant IDEs).

No prior coding knowledge is required, making the course accessible for beginners interested in data analytics.

More details

Description
Welcome to "Data Science Meets Power BI: Transforming Data into Insights". This comprehensive course is designed to arm you with the powerful skills of Python and R, and the dynamic visualisation capabilities of Power BI. Whether you're a beginner or intermediate user, our expert instructors will guide you through the world of data science and its integration with Power BI.

Learn how to set up Python and R in clean environments, minimising conflicts with Power BI. Explore the use of Integrated Development Environments (IDEs) to write, test, and debug your Python and R scripts. Discover the best Python and R packages for optimal functionality and compatibility, and use these tools to perform high-level statistical analyses, solve complex problems with simple functions and algorithms, and create stunning, highly customizable visuals that go beyond the native capabilities of Power BI.

From basic Python and R knowledge to advanced topics like Natural Language Processing (NLP) and handling large datasets, this course will boost your analytical capabilities and transform you into a proficient data analyst.

In over 15 hours of intensive training videos and multiple resource packs, this course provides the ultimate analytical toolset that empowers you to create in-depth reports and derive actionable insights from your data. Dive into the world where data science meets Power BI and emerge a versatile, highly skilled professional ready to tackle any data challenge.

No prior coding knowledge is required, just bring along your enthusiasm to learn and explore! Join us and start your journey to becoming a data science and Power BI powerhouse today!
Who this course is for:
Beginners in Data Science: Aspiring data scientists with little to no coding experience will find this course valuable as it provides a solid foundation in Python, R, and Power BI.
Power BI Users: Individuals already using Power BI for data analysis and visualization, but looking to enhance their capabilities by integrating Python and R for more advanced statistical analysis and data visualizations.
Data Analysts: Professionals already working in the field of data analysis who want to broaden their skill set with the use of Python, R, and Power BI.
Business Intelligence Professionals: Those involved in BI who want to augment their analysis skills and deliver deeper insights using Power BI, Python, and R.
Students: Individuals studying fields like computer science, statistics, or business who want to complement their academic knowledge with practical, industry-relevant skills in data science and visualization.

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Data Science

Microsoft Power BI

Enterprise DNA

Instructor's Courses

Ready to take your data skills to the next level?Are you just starting out? Have basic data skills? Highly experienced? Perfect, we got you!We are a real-world data skills training specialist that has helped 220,000+ people like you future-proof their careers for nearly 10 years now.We believe that there is a direct correlation between a person’s data skills and their earning potential.Learning data skills doesn’t have to be difficult; in fact, we believe that it should be easy, actionable, and effective.With us, you’ll learn real-world data skills from actual experts that are immediately transferable to your career.Ready to learn Power BI, Excel, R, SQL, ChatGPT + More?Let’s do this.Start learning with us today!

Sam McKay

Instructor's Courses

Eager to enhance your understanding of data?Whether you're a newbie, possess some data proficiency, or are a seasoned professional - you're in the right place!We are a leading data education powerhouse that has successfully navigated over 230,000+ data enthusiasts just like you towards a prosperous career path for almost a decade.We firmly hold that mastering data skills can dramatically augment one's earning capability.Grasping data skills doesn't have to be an uphill task; instead, we stand by the philosophy that learning should be seamless, applicable, and result-oriented.Under our guidance, you’ll glean practical data skills from genuine experts, skills that you can directly apply to your professional life.Keen to master tools like Power BI, Excel, Python, SQL, ChatGPT, and more?Let's embark on this journey together.Kickstart your data journey with us now!

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