Data analytics Course by Sharmila Jones S

The Data Analytics Training course is a comprehensive program designed to teach learners how to collect, analyze, and visualize data using modern tools like Python, Advanced Excel, Power BI, and R. This course is perfect for beginners, students, and professionals who want to gain practical skills in data-driven decision-making, business analytics, and reporting.

Offered in online and offline modes, the program combines theoretical concepts with hands-on exercises and real-world projects, enabling students to confidently work with datasets, create insights, and present findings using industry-standard tools.

What Students Will Learn

• Python for Data Analytics – data structures, libraries (NumPy, Pandas), and basic data analysis
• Advanced Excel – formulas, PivotTables, charts, dashboards, and automation techniques
• Power BI – building interactive dashboards, data visualization, and report sharing
• R Programming – statistical analysis, data manipulation, and visualization in R
• Data Cleaning & Preprocessing – handling missing data, formatting, and preparing datasets
• Data Analysis Techniques – descriptive and inferential statistics, trends, and insights
• Data Visualization – charts, graphs, and dashboards to communicate findings effectively
• Practical Projects – hands-on exercises and mini-projects to apply skills in real-world scenarios

Teaching Method

The course is delivered through live interactive sessions online and offline, using a practical approach to learning. The methodology includes:

• Step-by-step demonstrations of Python, Excel, Power BI, and R
• Hands-on exercises using real datasets
• Mini-projects for data cleaning, analysis, and visualization
• Personalized guidance, doubt-clearing sessions, and progress tracking
• Focus on practical application of analytical tools for academic, professional, and business contexts

Learners actively practice the tools and techniques, ensuring they develop confidence and applied skills.

Why This Course

This program provides a holistic approach to data analytics by integrating multiple tools in one curriculum. Students gain practical experience across Python, Excel, Power BI, and R, enabling them to analyze, visualize, and report data effectively. The hands-on project-based learning ensures that students leave with a strong portfolio of applied skills.

Benefits and Outcomes

By completing this course, students will:

• Gain proficiency in Python, Advanced Excel, Power BI, and R
• Analyze, clean, and visualize datasets effectively
• Create interactive dashboards and reports for business or academic use
• Apply statistical analysis for data-driven decision-making
• Complete practical projects to demonstrate applied skills
• Prepare for careers in data analytics, business intelligence, and related fields

This course equips learners with the essential skills required to succeed in the growing field of data analytics.