Data Science Meets Power BI: Transforming Data into Insights

سرفصل های دوره

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

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

4. Setting Up Anaconda Your Python Environment

5. Mastering Dictionaries and Dataframes in Python

6. Essential Dataframe Functions for Data Manipulation

7. Combining and Filtering Data in Python

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

2. Exploring Three Ways to Harness Python Scripting

3. Python Visuals and Spyder IDE A Dynamic Duo

4. Harnessing the Potential of Date Tables in Python

5. Creating Python-Enhanced Reports Part A

6. Creating Python-Enhanced Reports Part B

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

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

4. Mastering User-Defined Functions in Python

5. Building Cleaning Functions for Data Preprocessing

6. Visualizing Cleaned Data Unveiling Patterns and Insights

7. Building an Interactive Heatmap Dashboard in Python

8. Lists and For Loops Harnessing the Power of Iteration

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

2. Lemmatization in Text Analysis

3. Cleaning Text and Analyzing Word Frequency

4. Word Cloud Generation in Text Analysis

5. Creating Shaped Word Clouds in Text Analysis

6. Sentiment Analysis Application in Text Analysis

7. Building a Text Analysis Dashboard Part 1

8. Building a Text Analysis Dashboard Part 2

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

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

4. Installing R and RStudio Your R Development Environment

5. First Steps in RStudio Navigating the R Interface

6. Configuring R with Power BI Seamless Integration

7. How R Talks with Power BI Bridging the Gap

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

3. Object Classes Exploring Rs Data Structures

4. Manipulating Vectors Essential Techniques in R

5. Data Frames Managing Structured Data in R

6. Working with Factors Handling Categorical Data in R

7. Exploring Packages Expanding Rs Functionality

8. Locating Helpful Packages Navigating the R Ecosystem

9. Data Manipulation Row Operations with dplyr in R

10. Data Manipulation Column Operations with dplyr in R

11. Data Manipulation Pipe Operations with dplyr in R

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

3. Plotting with esquisse Simplifying Data Visualization in R

4. Bivariate Visualizations Uncovering Relationships in Data

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

6. Interactive R Visualization Engaging Dashboards and Reports

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

3. Building the Histogram Analyzing Data Distributions

4. Building the T-Test Hypothesis Testing in R

5. Building the Power BI Report Integrating R Visuals

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

6. Additional Topics Resource Pack.html

7. Troubleshooting R Common Issues and Solutions

8. Making a Reprex Streamlining Reproducible Examples in R

9. Learning Resources Furthering Your R and Power BI Skills

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

2. Rebus Basics Regular Expressions Made Easy

3. Stringr + Rebus Advanced Text Processing in R

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

5. Correlation Analysis Uncovering Relationships in Data

6. Bivariate Regression Modeling Relationships between Variables

7. Multiple Regression Predicting Outcomes with Multiple Variables

8. Making Predictions Applying Machine Learning Models in R

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

3. Jitterplots Visualizing Distributions and Relationships

4. Lollipop Charts Displaying Categorical Comparisons

5. Smoothing Plots Visualizing Trends and Patterns

6. Working with RDS Files Efficient Data Storage and Retrieval

7. Timing Performance Optimizing R Code for Efficiency

8. Mastering data.table Advanced Data Manipulation in R

9. Scheduling R Scripts Automating Tasks with R

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

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

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

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

5. Conclusion

6. Congratulations and Next Steps.html

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تولید کننده: Udemy