Master Data Analytics Certification Course (MDACC)
Launch Your Career in Data Analytics with Industry-Focused Training The Master Data Analytics Certification Course at Digi4Shastri is designed to prepare you for high-demand analytics careers. Starting from Excel and SQL to advanced Power BI, Python, Machine Learning, and AI, …
Overview
Launch Your Career in Data Analytics with Industry-Focused Training
The Master Data Analytics Certification Course at Digi4Shastri is designed to prepare you for high-demand analytics careers. Starting from Excel and SQL to advanced Power BI, Python, Machine Learning, and AI, you’ll gain practical skills through real-world projects and business case studies.
This course emphasizes practical implementation, dashboard creation, predictive analytics, and data-driven decision making to make you industry-ready.
Duration
6 Months + Internship
Certificates
15+ Professional Certifications
Live Projects
8+ Industry Live Projects
Analytics Tools
Excel, SQL, Python, Power BI & Tableau
Lifetime LMS Access
Unlimited Access to Course Materials
Assignments
100+ Hands-on Assignments & Case Studies
Course Highlights
Practical Training
Learn through real business datasets and industry projects.
Industry Certification
Receive an industry-recognized Data Analytics Certificate.
Live Projects
Work on real-world analytics projects and dashboards.
Software Installation Support
Complete setup guidance for all required analytics tools.
Learning Management System
Lifetime LMS access with recorded sessions and resources.
Assignments & Assessmentsp
Weekly assignments, quizzes, and practical exercises.
PROJECTS, CASE-STUDIES & ASSIGNMENTS
Quizzes – Excel Quiz, SQL Quiz, Power BI Quiz, Python Quiz, Data Visualization Quiz, Predictive Analytics Quiz & More.
Assignments – Complete practical assignments after every module including Excel dashboards, SQL queries, Power BI reports, Python data analysis, visualization, and predictive analytics.
Sales Dashboard Project: Build interactive Power BI dashboards to analyze sales performance, revenue trends, KPIs, and business growth.
HR Analytics Project: Analyze employee data to measure attrition, workforce performance, hiring trends, and productivity using Power BI and Excel.
E-Commerce Data Analysis: Work with online retail datasets to analyze customer behavior, product performance, sales trends, and revenue insights.
SQL Database Projects: Write SQL queries to extract, filter, join, aggregate, and analyze large datasets from relational databases.
Python Data Analysis: Use Pandas, NumPy, Matplotlib, and Seaborn to clean, visualize, and analyze real-world business datasets.
Business Intelligence Reporting: Create professional reports and dashboards using Power BI and Excel to support data-driven business decisions.
Predictive Analytics Project: Build basic machine learning models to forecast sales, customer churn, and business trends using Python.
Capstone Live Project: Complete an end-to-end industry project by collecting, cleaning, analyzing, visualizing, and presenting business insights.
Data Analytics Case Studies
Sales Performance Dashboard Analysis
Customer Behavior & Purchase Pattern Analysis
HR Analytics & Employee Attrition Insights
E-Commerce Sales & Revenue Analysis
Financial Data Analysis & KPI Reporting
Business Intelligence Dashboard Case Study
Marketing Campaign Performance Analysis
Real-World Business Data Analytics Projects
YOUR FUTURE JOB OPPORTUNITIES
Data Analyst
Business Analyst
Power BI Developer
SQL Developer
Data Visualization Specialist
Business Intelligence (BI) Analyst
Reporting & MIS Analyst
Data Analytics Consultant
Curriculum
- 11 Sections
- 54 Lessons
- 25 Weeks
- SECTION 1: DATA SCIENCE FOUNDATIONS3
- Section 2: PYTHON PROGRAMMING6
- Section 3: MATHEMATICS & STATISTICS5
- Section 4: DATA ANALYSIS WITH PYTHON5
- Section 5: DATA VISUALIZATION4
- Section 6: SQL FOR DATA SCIENCE5
- Section 7: MACHINE LEARNING8
- 7.1Module 29 – Introduction to Machine Learning
- 7.2Module 30 – Supervised Learning
- 7.3Module 31 – Regression Algorithms
- 7.4Module 32 – Classification Algorithms
- 7.5Module 33 – Unsupervised Learning
- 7.6Module 34 – Clustering Techniques
- 7.7Module 35 – Model Evaluation & Validation
- 7.8Module 36 – Hyperparameter Tuning
- Section 8: DEEP LEARNING5
- Section 9: POWER BI & BUSINESS INTELLIGENCE4
- Section 10: CAPSTONE PROJECTS & CASE STUDIES5
- Section 11: CAREER PREPARATION & PLACEMENT4
Instructor
FAQs
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Course Features
- Lectures 54
- Quiz 0
- Duration 25 weeks
- Skill level All levels
- Language English
- Students 0
- Assessments Yes