Data Analytics Using Excel, R & Power BI
Learn to analyze, visualize, and interpret data effectively using Excel, R, and Microsoft Power BI for data-driven decision-making.
6 Months
Online & Offline
4.8
1000+Course Modules
Introduction to Data Analytics
Data Analytics involves examining, cleaning, and modeling data to extract insights and support decisions.
Excel Interface & Navigation
Learn to navigate the Excel interface efficiently for improved productivity and data management.
Excel Formulas & Functions
Master essential formulas and functions in Excel for powerful data analysis and automation.
Excel Data Cleaning Techniques
Learn essential data cleaning techniques in Excel to prepare your data for analysis.
Excel Sorting & Filtering
Master sorting and filtering techniques in Excel to quickly organize and analyze your data.
Excel Tables & Named Ranges
Learn how to use tables and named ranges in Excel for better data management and analysis.
Excel Charts & Visualization
Create stunning charts and visualizations in Excel to communicate your data insights effectively.
Excel PivotTables & PivotCharts
Unlock the power of pivot tables and charts in Excel for advanced data analysis and visualization.
Excel Dashboard Building
Learn how to build interactive and visually appealing dashboards in Excel for effective data analysis and reporting.
Introduction to R and RStudio
Get started with R programming and the RStudio IDE for data analysis and visualization.
Data Types & Variables in R
Understanding fundamental data types and variable assignment in R programming language.
R Data Structures
R Data Structures include vectors, lists, matrices, data frames, and factors used to store and organize data efficiently.
R Importing & Cleaning Data
Techniques for importing data from various sources and cleaning it for analysis in R.
Data Manipulation with dplyr
Mastering the dplyr package for efficient data manipulation and transformation in R.
Data Visualization in R with ggplot2
Creating beautiful and informative data visualizations using the ggplot2 package in R.
Statistical Analysis in R
Statistical Analysis is the process of collecting, analyzing, interpreting, and presenting data to make informed decisions.
Introduction to Power BI Interface
Power BI is a Microsoft business analytics tool that enables users to create interactive visualizations, reports, and dashboards for data-driven insights.
Data Loading & Transformation in Power BI
Data Loading in Power BI involves connecting to data sources, importing, and transforming data for analysis using Power Query.
Power BI Visualizations
Power BI offers a wide range of visualization options to help you analyze and present your data effectively.
Power BI Filters & Slicers
Power BI Filters and Slicers allow users to refine and interact with data dynamically within reports and dashboards.
Power BI DAX Basics
DAX is a formula language in Power BI for creating calculated columns, measures, and tables in tabular data models.
Relationships & Data Modeling
Relationships and Data Modeling in Power BI connect tables and define data structure for accurate analysis and reporting.
Time Intelligence in Power BI
Time Intelligence in Power BI enables analyzing data over time using DAX functions for trends, comparisons, and period calculations.
Power BI Dashboard Design
Power BI Dashboard Design focuses on creating clear, interactive, and visually appealing dashboards for effective data storytelling.
Power BI Service & Sharing Reports
Power BI Service & Sharing Reports involve publishing dashboards online, collaborating, and securely sharing insights with others.
End-to-End Excel Project
An End-to-End Excel Project involves data collection, cleaning, analysis, visualization, and reporting using Excel tools and functions.
End-to-End R Project
An End-to-End R Project involves data import, cleaning, analysis, visualization, and modeling to derive actionable insights.
End-to-End Power BI Project
An End-to-End Power BI Project covers data loading, modeling, analysis, visualization, and dashboard creation for actionable business insights.
Review & Practice
Structured review sessions consolidate learning and highlight improvement areas across all data analytics tools and techniques.
Final Presentation & Certification
Complete your data analytics journey with a final presentation and earn your certification.
Course Overview
Master Excel for data cleaning, analysis, and advanced formulas to derive actionable insights. Learn R for statistical analysis, data modeling, and automation of complex data tasks. Gain hands-on experience in Power BI to create interactive dashboards and reports, enabling impactful business intelligence solutions.
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