Data Analytics Training
Master Data Analytics anytime, anywhere, at your own speed. Learn Excel, SQL, Power BI, Tableau, Python, statistics, dashboard development and business intelligence through real-time projects and practical business case studies.
About This Course
In today’s data-driven business environment, organizations generate massive amounts of data every day. The ability to collect, clean, analyze, visualize and interpret this data has become one of the most valuable skills across industries.
Data Analytics helps businesses transform raw data into meaningful insights, improve decision-making, track performance, identify trends and solve real business problems. This self-paced Data Analytics course is designed for students, freshers, business professionals, finance professionals, marketing executives, IT professionals and aspiring analysts.
The course combines Excel, SQL, Power BI, Tableau, Python, statistics, business intelligence, dashboard development and real-time projects to help you become an industry-ready Data Analyst.
What You Will Learn
- Complete Data Analytics lifecycle and business workflow
- Advanced Excel for reporting, dashboards and analysis
- SQL for data extraction, joins, CTEs and window functions
- Statistics for business decision-making and analysis
- Data cleaning, preparation, transformation and validation
- Power BI dashboards, DAX, Power Query and report publishing
- Tableau dashboards, storytelling and interactive reports
- Python for data analysis, visualization and business reporting
Course Modules
Introduction to Data Analytics
- What is Data Analytics?
- Importance of Data Analytics
- Descriptive, diagnostic, predictive and prescriptive analytics
- Data Analytics lifecycle
- Business applications and career opportunities
Microsoft Excel for Analytics
- Excel fundamentals and Advanced Excel
- Data cleaning and formatting
- Sorting, filtering and conditional formatting
- Lookup functions
- Pivot tables, pivot charts and dashboards
- Power Query and Power Pivot basics
SQL for Data Analytics
- Database fundamentals
- SELECT, WHERE, ORDER BY and GROUP BY
- Joins and subqueries
- Views, CTEs and stored procedures
- Window functions
- Data extraction techniques
Statistics for Data Analytics
- Mean, median and mode
- Standard deviation and variance
- Probability basics
- Correlation and covariance
- Hypothesis testing
- Confidence intervals and business statistics
Data Cleaning & Preparation
- Data collection and import
- Missing value treatment
- Duplicate removal
- Data transformation
- Outlier detection
- Data quality management
Power BI
- Power BI Desktop
- Data import and modelling
- Relationships and Power Query Editor
- DAX fundamentals
- Measures and calculated columns
- Interactive dashboards and report publishing
Tableau
- Tableau fundamentals
- Data connections and worksheets
- Calculated fields and parameters
- Filters and visualizations
- Storytelling and dashboards
- Tableau Public and dashboard publishing
Python for Data Analytics
- Python basics
- NumPy and Pandas
- Matplotlib and Seaborn
- CSV and Excel handling
- Exploratory Data Analysis
- Business reporting with Python
Business Intelligence
- BI fundamentals
- Data warehousing and ETL concepts
- KPI development
- Dashboard design
- Decision support systems
- Executive reporting and data storytelling
Business Analytics
- Sales analytics
- Financial analytics
- Marketing analytics
- HR analytics
- Customer analytics
- Supply chain and operations analytics
Industry Tools Covered
Real-Time Projects
Additional Learning
- Business communication
- Data storytelling
- Dashboard design principles
- Agile methodology
- Resume building
- LinkedIn profile optimization
- Interview preparation
- Mock interviews
- Business case studies
- Portfolio development
Who Should Take This Course?
This course is ideal for learners who want to start or switch into Data Analytics, Business Intelligence, MIS reporting, dashboard development or business analysis roles.
- B.Com, BBA, MBA, B.Tech, BE, BCA, MCA and Diploma students
- Freshers looking to build a Data Analytics career
- Business Analysts and MIS Executives
- Finance and Accounting Professionals
- Marketing and HR Professionals
- Operations Managers and Sales Executives
- IT Professionals and Entrepreneurs
- Anyone interested in business analytics and reporting
No prior analytics experience is required. The course starts with fundamentals and gradually progresses to advanced analytics, business intelligence and dashboard development.
Why Choose This Course?
- Self-paced learning with lifetime access
- Beginner to advanced curriculum
- Real-time industry projects
- Hands-on practical sessions
- Business case studies
- Dashboard development
- SQL and Power BI practice
- Tableau projects
- Excel mastery
- Python for analytics
- Resume building assistance
- LinkedIn profile optimization
- Mock technical interviews
- One-to-one doubt resolution
- Internship and placement assistance
- Course completion certificate
- Regular course updates
Career Opportunities
After completing this course, learners can apply for analytics, reporting, BI dashboard and business intelligence roles across finance, IT, retail, healthcare, manufacturing and e-commerce.
- Data Analyst
- Business Analyst
- MIS Executive
- Power BI Developer
- Tableau Developer
- Reporting Analyst
- Business Intelligence Analyst
- Operations Analyst
- Financial Analyst
- Marketing Analyst
- HR Analyst
- Product Analyst
- Analytics Consultant
- Decision Support Analyst
Course Outcome
Certification & Placement Support
- Course Completion Certificate
- Data Analytics Career Roadmap
- Resume Building Workshops
- LinkedIn Profile Optimization
- Portfolio Development
- Mock Technical Interviews
- Real-Time Project Experience
- Internship Assistance
- Placement Assistance
- Career Mentorship
- Lifetime Learning Resources
Ready to Become a Data Analyst?
Start your Data Analytics journey with structured self-paced learning, dashboard projects, SQL practice, Excel mastery, Power BI, Tableau and career-focused preparation.