Program Overview

• Duration: 6 months
• Total Hours: 144 hours
• Class Schedule:
  • 3 classes per week (MWF / TTS / Weekend options)
  • 2 hours per session
• Mode: Live Online Interactive Classes
• Key Tools & Technologies: Excel (Basic & Advanced), Python, MySQL, Tableau, Power BI, Generative AI

Course Overview

The Advanced Data Analytics Certification Program is a 6-month intensive online course designed to equip learners with industry-relevant data analytics skills and hands-on experience with tools like Excel (Basic & Advanced), Python, SQL, Tableau, Power BI, and Generative AI. Whether you are a beginner or looking to upskill, this program provides a structured learning path covering data processing, visualization, statistical analysis, and business intelligence to help you become a proficient data analyst.

With 144 hours of live training, real-world case studies, industry-based projects, and flexible class schedules (MWF / TTS / Weekend options), this course prepares you for roles such as Data Analyst, Business Analyst, BI Developer, and more.

Additional Features

✅ Hands-on Assignments & Case Studies
✅ Industry-Based Project Work
✅ Placement Assistance & Resume Building
✅ Flexible Learning Schedules

What You Will Learn

1️⃣ Data Analytics Fundamentals

• Introduction to Data Analytics: Concepts, Importance & Applications
• Understanding Business Analytics & Data-Driven Decision Making
• Overview of Data Science vs. Data Analytics vs. Business Intelligence

2️⃣ Microsoft Excel for Data Analysis (Basic & Advanced)

• Introduction to Excel Interface & Essential Functions
• Data Cleaning & Transformation
• Pivot Tables & Charts for Data Summarization
• Advanced Excel: Power Query, Macros, Solver for Optimization

3️⃣ SQL for Data Handling & Querying

• Introduction to Relational Databases & Data Warehousing
• SQL Basics: SELECT, WHERE, GROUP BY, HAVING
• Joins & Subqueries for Advanced Data Retrieval
• Window Functions, CTEs, and Performance Optimization

4️⃣ Python for Data Analytics

• Python Programming Basics: Variables, Data Types, Loops, Functions
• Data Manipulation with Pandas (Filtering, Grouping, Pivoting)
• Statistical Analysis & Exploratory Data Analysis (EDA)
• Data Visualization with Matplotlib & Seaborn

5️⃣ Business Intelligence & Data Visualization

• Introduction to BI Tools: Tableau & Power BI
• Creating Interactive Dashboards
• DAX (Data Analysis Expressions) in Power BI
• Real-world Storytelling with Data

6️⃣ Exploratory Data Analysis & Statistics

• Descriptive Statistics: Mean, Median, Mode, Variance
• Inferential Statistics: Hypothesis Testing, Confidence Intervals
• Regression Analysis & Correlation
• Hands-on Case Study using Real-World Data

7️⃣ Introduction to Machine Learning (Optional)

• Supervised & Unsupervised Learning Concepts
• Linear & Logistic Regression
• Decision Trees & Clustering
• Model Evaluation Metrics

8️⃣ Generative AI & Automation in Data Analytics

• Introduction to Generative AI & Its Role in Analytics
• Using ChatGPT for Data Analysis & Research
• AI-Driven Python & SQL Query Automation
• Exploring OpenAI APIs, Whisper API, and DALL-E API

9️⃣ Capstone Project

• Hands-on End-to-End Data Analytics Project
• Business Problem Definition
• Data Cleaning, Visualization & Storytelling
• Presentation of Insights & Recommendations

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Frequently Asked Questions (FAQs)

1. Who is this course for?

This course is ideal for graduates, working professionals, business analysts, and entrepreneurs who want to gain expertise in data analytics. No prior experience is required as we cover everything from the basics to advanced topics.

2. What is the duration of the course?

The course runs for 6 months with a total of 144 hours of live training. Classes are held 3 times a week (MWF, TTS, or Weekends), with each session lasting 2 hours.

3. What tools and technologies will I learn?

You will gain hands-on experience with the following tools:
✔ Excel (Basic & Advanced)
✔ SQL (MySQL for data handling)
✔ Python (Pandas, NumPy, Matplotlib, Seaborn)
✔ Tableau & Power BI (for Data Visualization & Business Intelligence)
✔ Generative AI (ChatGPT, AI-driven automation in analytics)

4. Do I need prior coding knowledge?

No, prior coding experience is not required. The course starts from the basics and gradually builds up to advanced analytics and coding concepts.

5. Will there be any projects or hands-on assignments?

Yes! This program includes hands-on assignments, real-world case studies, and a capstone project where you will work on a complete data analytics problem from start to finish.

6. What kind of job roles can I apply for after completing this course?

After completing this certification, you can apply for roles such as:
🔹 Data Analyst
🔹 Business Analyst
🔹 BI Developer
🔹 Marketing/Data Research Analyst
🔹 Operations/Data Reporting Analyst

7. Will I get a certificate after completing the course?

Yes! You will receive an industry-recognized certification upon successfully completing the course.

8. What is the mode of training?

The training is conducted live online with interactive sessions, hands-on practice, and doubt-clearing classes.

9. Do you provide placement assistance?

Yes! We offer placement support, including resume building, LinkedIn profile optimization, and interview preparation.

10. How can I enroll in this course?

To enroll, simply click on Enroll Now button, fill out the registration form, and complete the payment process. Our team will then guide you through the onboarding process.