Course Introduction:

This program is designed to equip participants with the essential skills for manipulating data using R programming language and creating impactful visualizations with Power BI. In today's data-driven era, organizations rely on advanced tools like R and Power BI to analyze and visualize data, gaining valuable insights for informed decision-making. This course offers hands-on training on data manipulation techniques using R and advanced visualization techniques using Power BI, enabling participants to derive actionable insights and communicate findings effectively through compelling visualizations.

Course Objectives:

1. Master the fundamentals of data manipulation using R, including data importing, cleaning, and transformation.
2. Develop proficiency in performing advanced statistical analysis and modeling using R to uncover patterns and trends in data.
3. Learn how to create interactive and visually appealing dashboards, reports, and visualizations using Power BI.
4. Understand best practices for data visualization and storytelling to effectively communicate insights derived from data.
5. Gain practical experience in integrating R and Power BI workflows to streamline the data analysis process and generate actionable insights efficiently.
6. Explore advanced techniques for data manipulation and analysis in R, including data reshaping, merging, and aggregating.
7. Acquire skills in data visualization customization and customization using Power BI, including custom visuals and themes.
8. Understand how to optimize data visualization performance and scalability in Power BI.
9. Learn how to deploy and share Power BI dashboards and reports securely within the organization.
10. Explore real-world case studies and applications to apply data manipulation and visualization techniques to solve business challenges and make data-driven decisions.

Organization Benefits:

1. Improved data accuracy and reliability: Equipping employees with skills in R and Power BI enhances data accuracy and reliability, ensuring that organizations can make informed decisions based on accurate insights derived from their data.
2. Enhanced efficiency: Streamlining data manipulation and analysis processes using R and Power BI saves time and resources, allowing organizations to focus on extracting actionable insights and driving business outcomes.
3. Better decision-making: Proficiency in R and Power BI empowers employees to analyze data, uncover trends and patterns, and make informed decisions based on data-driven insights, leading to better business outcomes.
4. Cost savings: Investing in R and Power BI training reduces the need for expensive data analysis software and tools, resulting in cost savings for the organization while still maintaining robust data manipulation and visualization capabilities.
5. Enhanced collaboration and communication: R and Power BI's widespread use and familiarity among employees facilitate collaboration and communication across teams and departments, enabling seamless sharing and analysis of data to support decision-making and problem-solving.

Target Participants:

This course is suitable for data analysts, data scientists, business analysts, researchers, and professionals who work with data and want to enhance their skills in data manipulation and visualization using R and Power BI. Participants should have a basic understanding of data analysis concepts and programming fundamentals.

Course Outline:

Module 1: Introduction to R for Data Manipulation

• Overview of R programming language and its features
• Importing and exporting data in R
• Data cleaning and preprocessing techniques in R

Module 2: Advanced Data Manipulation Techniques in R

• Data reshaping and transformation using dplyr and tidyr packages
• Joining and merging datasets in R
• Aggregating and summarizing data in R

Module 3: Statistical Analysis and Modeling in R

• Descriptive and inferential statistical analysis using R
• Linear and logistic regression modeling in R
• Time series analysis and forecasting in R

Module 4: Introduction to Power BI for Data Visualization

• Overview of Power BI and its features
• Connecting to data sources in Power BI
• Importing and transforming data in Power BI

Module 5: Data Visualization Basics in Power BI

• Creating basic visualizations (e.g., bar charts, line charts, scatter plots) in Power BI
• Formatting and customizing visualizations in Power BI
• Using slicers and filters for interactive data exploration in Power BI

Module 6: Advanced Data Visualization Techniques in Power BI

• Designing interactive dashboards and reports in Power BI
• Using custom visuals and themes to enhance visualizations in Power BI
• Incorporating storytelling elements into Power BI reports

Module 7: Integration of R and Power BI

• Integrating R scripts and functions into Power BI for data manipulation and analysis
• Using R visuals and custom R scripts in Power BI
• Streamlining data analysis workflows between R and Power BI

Module 8: Optimization of Power BI Performance and Scalability

• Optimizing data models and queries for performance in Power BI
• Managing data refresh schedules and optimizing dataset size in Power BI
• Scaling Power BI solutions for large datasets and enterprise deployments

Module 9: Deployment and Sharing of Power BI Dashboards and Reports

• Publishing Power BI reports to the Power BI service
• Sharing and collaborating on Power BI content with colleagues
• Configuring security and access controls for Power BI dashboards and reports

Module 10: Data Manipulation and Visualization Case Studies and Applications

• Real-world case studies and applications demonstrating data manipulation and visualization techniques using R and Power BI
• Applying R and Power BI skills to solve business challenges and make data-driven decisions
• Tips and best practices for optimizing data manipulation and visualization workflows in R and Power BI