Data science Course by Sharmila Jones S

The Data Science & Analytics Training course is a comprehensive program designed to equip learners with essential skills in Python, Advanced Excel, Power BI, and R for data-driven decision-making. This course is ideal for beginners, students, and professionals who want to analyze data effectively, generate insights, and build interactive reports using modern tools.

Offered in online and offline modes, the course combines theoretical knowledge with hands-on practical exercises, allowing learners to develop proficiency in data analytics, visualization, and statistical analysis. By the end of the program, students will be capable of handling real-world datasets and performing meaningful analyses.

What Students Will Learn

• Python for Data Science – fundamentals, data structures, libraries like NumPy and Pandas, and basic data analysis
• Advanced Excel – formulas, PivotTables, data visualization, dashboards, and Excel-based analytics
• Power BI – creating interactive dashboards, data modeling, and visualization techniques
• R Programming – statistical computing, data manipulation, and visualization in R
• Data Analytics & Statistical Analysis – descriptive and inferential statistics, probability, and hypothesis testing
• Data Cleaning & Preprocessing – handling missing values, formatting, and preparing data for analysis
• Visualization & Reporting – charts, graphs, and dashboards to communicate insights effectively
• Practical Projects – real-world datasets, mini-projects, and exercises to apply skills

Teaching Method

The course is delivered through live interactive sessions in both online and offline formats. The teaching methodology includes:

• Step-by-step demonstrations of Python, Excel, Power BI, and R
• Hands-on exercises and guided practice on real datasets
• Mini-projects for data cleaning, analysis, and visualization
• Personalized guidance, progress tracking, and doubt-clearing sessions
• Focus on practical, real-world application of data analytics tools

Learners actively practice tools and techniques, ensuring practical knowledge and confidence to apply skills independently.

Why This Course

This program offers a complete data science and analytics skillset by integrating multiple tools in one curriculum. Students gain practical experience in Python, Advanced Excel, Power BI, and R, enabling them to perform data analysis, visualization, and reporting across various domains. The project-based approach ensures learners build a portfolio demonstrating their capabilities.

Benefits and Outcomes

By completing this course, students will:

• Develop proficiency in Python, Advanced Excel, Power BI, and R
• Analyze, clean, and visualize datasets effectively
• Build interactive dashboards and generate insights for decision-making
• Apply statistical analysis for academic, professional, or research purposes
• Complete practical projects to demonstrate applied skills
• Gain confidence for careers in data science, analytics, or business intelligence

This course provides learners with a holistic understanding of data analytics tools and techniques, preparing them for academic projects, professional work, and data-driven problem solving.