Data Analysis Mastery Program
Become a skilled Data Analyst with hands-on training in Excel, SQL, and data visualization — backed by real-world projects, expert mentorship, and a globally recognized certification to kickstart a high-growth career in analytics.
Unlock the power of Data Analytics with our expertly designed, career-focused mastery program. Master industry-leading tools like Excel, SQL, Power BI, and Tableau while building a solid foundation in statistics, data handling, and storytelling. Get hands-on with real-world case studies and capstone projects—ranging from sales dashboards to advanced marketing ROI analysis. Learn to collect, clean, and analyze data, uncover actionable insights, and create compelling visualizations. Our step-by-step learning path includes personalized assessments, flexible pacing, and collaborative projects to sharpen your problem-solving and communication skills. Guided by seasoned industry professionals, you’ll gain the expertise and confidence to tackle real-world business challenges. With 1:1 mentorship, job-ready portfolio development, and career support, step into high-growth roles in today’s data-driven world.
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Key Highlights
60+ live interactive session over the course of 6 months
Exclusive access to our Career Portal
170+ hrs of Live interactive Sessions
Live sessions with NIT Faculy and Industry Expert
24/7 Support
Industry-Curated Curriculum
50+ Industry level Projects & Assesments
100% Job Assistance
Course content
Module-1 Data Understanding
- What is Data?
- Types of Data (Qualitative, Quantitative, Structured, Unstructured)
- Importance of Data Analysis
- Data Analysis Process Flow (from Data Collection to Insights)
- Roles in Data Analysis
- Ethical Considerations in Data Analysis and Data Privacy
Module 2: Statistical Foundations
- Descriptive Statistics (Mean, Median, Mode, Standard Deviation)
- Data Distributions (Histograms, Box Plots, Density Plots)
- Outlier Detection and Handling
- Correlation Analysis (Pearson, Spearman)
- Hypothesis Testing (Introduction to Null and Alternative Hypothesis, P-values)
Module 3: Excel for Data Analysis
- Excel Interface and Navigation
- Data Entry and Data Organization in Spreadsheets
- Formulas and Functions in Excel (Statistical, Logical, Lookup)
- Data Cleaning and Transformation Techniques within Excel
- Basic Chart Creation in Excel (Bar Charts, Line Charts
Module 4: SQL for Data Handling
- Introduction to Databases and Relational Database Management Systems (RDBMS)
- SQL Basics (SELECT, FROM, WHERE – retrieving data from tables)
- Filtering and Sorting Data in SQL (WHERE clause, ORDER BY clause)
- Aggregating Data using SQL (GROUP BY clause, Aggregate Functions)
- Joining Tables in SQL (Basic JOIN operations – INNER JOIN)
Module 5: Data Visualization
- Principles of Effective Visualization (revisited and expanded for dashboarding)
- Advanced Chart Types
- Introduction to a Visualization Tool (Power BI or Tableau - interface, connecting to data, creating dashboards, basic interactivity)
Module 6: Problem Solving & Projects Discussions
- Working through Case Studies in Data Analysis
- Applying Data Analysis Techniques (from all modules) to Solve Real-World Problems
- Writing Data Analysis Reports
Skills to master
Data Collection and Preparation
Statistical Analysis
Data Visualization
SQL Database Querying
Data Storyteling
Problem Solving
Business Acumen
Root Cause Analysis
Tools to master
Roles to work as
Data Analyst
SQL Developer
Data Visualization Specialist
Product Data Analyst
Decision Analyst
Database Analyst
Social Media Analyst
Data Quality Analyst
Career Services
Mock Interview Preparation
Priority Access to Career Services
1 : 1 Career Mentorship
Job Board -- Resume Building
100% Placement Assistance
Soft-Skill Training
Certification of Completion
🎓 Certification Sample
Get a glimpse of the professional certificate you’ll receive upon course completion. Issued by Workpreneur Academy, it validates your expertise in Data Analytics and showcases your skills to employers worldwide.
Testimonials from Industry Leaders
Course Queries Answered
Who is this Data Analysis course designed for?
This course is perfect for aspiring data analysts, business analysts, fresh graduates, and professionals from non-technical backgrounds who want to transition into analytics roles. No advanced coding skills are required—just a curiosity for data and problem-solving. Foundational modules ensure everyone starts strong.
What skills will I gain from this course?
You’ll learn how to collect, clean, and interpret data using tools like Excel, SQL, and Python. The course covers statistical analysis, data visualization, dashboarding, and data storytelling—preparing you to make informed business decisions and present insights clearly.
What is the structure and duration of the program?
This is a structured 14 week program focused on step-by-step learning. It includes hands-on projects, real business case studies, and tool-based training. You’ll build practical skills while working on tasks similar to those faced by professional data analysts.
Will I receive a certificate and job support after completion?
Absolutely. You’ll earn an industry-recognized certificate upon course completion, which can boost your resume and LinkedIn profile. The program also includes job placement support, interview preparation, and career mentorship to help you secure data analyst roles.
What kind of support is provided during the course?
You’ll benefit from 1:1 mentorship, live doubt-clearing sessions, expert-led workshops, and round-the-clock support. Whether you need help with a technical concept or career advice, our team is here to guide you throughout your learning journey.