The Data Analytics Course is designed to help students, freshers, and working professionals develop the skills needed to transform raw data into meaningful insights. In today’s data-driven world, organizations rely on data analytics to make informed business decisions, improve performance, and identify growth opportunities. This course provides comprehensive training in data collection, data cleaning, data visualization, statistical analysis, and reporting techniques.
Module 1: Introduction to Data Analytics
Learn the fundamentals of data analytics, its importance in business, and the role of a data analyst in modern organizations.
Module 2: Advanced Microsoft Excel
Master Excel functions, formulas, Pivot Tables, charts, dashboards, data cleaning, and data visualization techniques.
Module 3: Statistics for Data Analytics
Understand descriptive statistics, probability, hypothesis testing, correlation, and regression concepts used in data analysis.
Module 4: Data Collection & Data Cleaning
Learn how to collect, organize, clean, and prepare raw data for analysis using industry-standard techniques.
Module 5: SQL for Data Analytics
Master SQL queries, filtering, sorting, joins, subqueries, aggregate functions, and database management.
Module 6: Data Visualization
Create meaningful charts, graphs, and dashboards to communicate insights effectively.
Module 7: Power BI
Learn Power BI from basics to advanced dashboard creation, data modeling, DAX functions, and report publishing.
Module 8: Python for Data Analytics
Understand Python fundamentals, data structures, functions, and libraries used in analytics.
Module 9: NumPy
Learn numerical computing, arrays, mathematical operations, and data manipulation using NumPy.
Module 10: Pandas
Work with datasets, perform data cleaning, transformation, filtering, merging, and analysis using Pandas.
Module 11: Data Visualization with Matplotlib & Seaborn
Create professional charts, plots, and visual reports for business insights.
Module 12: Exploratory Data Analysis (EDA)
Analyze datasets to identify patterns, trends, relationships, and business opportunities.
Module 13: Business Analytics
Learn how organizations use data for decision-making, forecasting, and performance improvement.
Module 14: Machine Learning Fundamentals
Understand supervised and unsupervised learning concepts, model building, and evaluation techniques.
Module 15: Predictive Analytics
Use historical data to forecast future trends and business outcomes.
Module 16: Real-Time Projects
Work on industry-based projects involving sales analysis, customer analytics, marketing analytics, and business reporting.
Module 17: Dashboard Development
Build interactive dashboards using Excel, Power BI, and Python visualization tools.
Module 18: Report Writing & Data Storytelling
Learn to present analytical findings through reports, presentations, and business storytelling techniques.
Module 19: Resume Building & Interview Preparation
Create a professional Data Analyst resume, LinkedIn profile, portfolio, and prepare for interviews.
Module 20: Capstone Project & Certification
Complete a comprehensive end-to-end analytics project demonstrating all learned skills and receive course certification.
Course Highlights
✅ Advanced Excel & Dashboards
✅ SQL Database Management
✅ Power BI Dashboard Development
✅ Python, NumPy & Pandas
✅ Data Visualization Techniques
✅ Statistics & Business Analytics
✅ Machine Learning Basics
✅ Real-Time Industry Projects
✅ Interview & Placement Assistance
✅ Certificate from Network Net Training Institute
Course Duration: 4–6 Months
Level: Beginner to Advanced
Eligibility: Students, Graduates, Working Professionals, Business Owners, and Job Seekers.