- Home
- ›
- Course
- ›
- Data Analytics with GenAI Program | NDTV Launchpad
Data Analytics with GenAI Program
What you will learn
Build Skills for the Future of Analytics
Complete the Data Analytics with GenAI Program by Coding Ninjas, an intensive job bootcamp focused on building strong foundations in data analytics, business intelligence, and AI-powered workflows. The program covers key concepts such as data cleaning, data visualization, exploratory data analysis, statistical thinking, SQL, Excel, Python for analytics, and dashboard creation, along with practical exposure to Generative AI tools and their applications in modern data-driven decision making. Works on real-world datasets and hands-on projects involving data interpretation, reporting, trend analysis, and automation techniques to derive meaningful insights and improve problem-solving abilities.
Key Stats:
- 1.4M+ Data Analytics Jobs, Global demand for data analysts across industries
- 75% of analytics roles need AI, GenAI & automation expected in analytics jobs
- 40% analytics jobs automated Reporting, data cleaning, & insights are increasingly AI-driven
Pillars of learning
1. Data Foundations & Spreadsheet Analytics
- Topic: Data Analytics & MS Excel
- Description: Master fundamental data analytical frameworks, data cleaning, advanced lookups, and pivot tables to transform raw spreadsheet data into business insights.
2. Relational Databases & Structured Querying
- Topic: Analytics with SQL
- Description: Learn to manage relational databases and write structured queries using filters, aggregations, and multi-table joins for large-scale data extraction.
3. Statistical Programming & Exploratory Data Analysis
- Topic: Python & Statistics
- Description: Leverage Python programming and mathematical distributions to clean datasets, identify trends, and conduct exploratory data analysis (EDA).
4. Advanced Visualization & Intelligence Engineering
- Topic: Power BI & Generative AI
- Description: Build interactive corporate dashboards using Power Query data modeling while integrating Generative AI workflows to automate reporting processes.
Eligibility
Final Year College Students | Graduates | Working Professionals
Module
Introduction to Data Analytics / Life Cycle of Data Analysis
Understand the impact and use of data analysis based on real-world examples, Understand the scope and career opportunities in the data domain, Discussion on the hard skills required for a data analyst, Introduction to data and types of data, Introduction to types of data analysis, Steps to solve a Data Analysis problem, Overview of Data Cleaning and tools for data analysis, Importance, interface, basics, operations, and important functionalities of MS Excel
Understand SQL queries and database fundamentals
Conditional formatting and Functions in MS Excel, Absolute, Relative, and Mixed Cell referencing, DATE function utilization, Introduction to AI tools in MS Excel, Objective formulation: Understanding the problem & Introduction to the company, Getting relevant data: Converting a business problem into data analytics terms by Understanding and exploring a dataset
LOOKUPs in Excel and Data Cleaning
VLOOKUP & HLOOKUP, LOOKUP merging, Proper formatting of data, Handling and treating missing values in a dataset, Populating datasets effectively, Data dispersibility techniques, Identification and treatment of Outliers.
Data Analysis
Feature engineering, ntroduction to Pivot Tables (Advanced features and drawbacks), Charts and data visualization, Introduction to data analysis methods, Introduction to Univariate Analysis (Continuous and Categorical data), Introduction to Bivariate Analysis
Introduction to Power Query
Bivariate Analysis (Categorical to Categorical, Categorical to Continuous, Continuous to Continuous), Final Insights presentation and business communication, Introduction to Power Query, Importing data into Power Query, Basic Data Transformation steps
Meet Our Expert
-
HarshaVardhan Palawat
Principal Data Scientist at infoObjectsHarshvardhan Palawat is an experienced Principal Software Engineer specializing in Data Science at InfoObjects Private Limited. He has extensive expertise across machine learning, Python, predictive modeling, natural language processing (NLP), and data mining.
Shiv Sai Dinesh
Kashish Arora
Course Fee
What Is Included
- 28 live sessions
- Price as low as ₹5911 / month
- 100% refund in first 7 days, no questions asked
- No-cost EMI and Low cost EMI available from Leading Banks and NBFCs
Frequently asked questions
1. What is the Data Analytics Job Bootcamp program?
The Data Analytics Job Bootcamp is an intensive, practice-based learning program designed to get you job-ready in just six months. The curriculum covers essential data analytics tools like Excel, SQL, Python, Power BI, and statistics through real-world case studies. With live classes, 1:1 expert sessions, and placement support, this data analytics bootcamp online ensures a smooth transition into the industry.
2. What is the refund policy for the Data Analytics Bootcamp program?
You can request a refund within 7 days of your batch start date.
3. Who is eligible for the Data Analyst Bootcamp?
The Job Bootcamp is open to working professionals, final-year college students, and fresher graduates from any industry or domain.
4. What is the duration of the Data Analytics Job Bootcamp?
The duration of the program is 6 months (learning phase), along with placement support until you secure your first job. Additionally, you will continue to have access to the content for 21 months from your batch start date.
5. How good is the placement record for the Data Analytics Bootcamp?
According to our records, 95% of learners who completed the program have secured suitable job opportunities. Coding Ninjas has consistently delivered on its promises and is a trusted name in the education industry, with experience in upskilling over 1,50,000 learners. We will create your profile, assist you in preparing your resume, conduct mock interviews, and do everything we can to help you land a job.
6. How will I benefit from industry mentors during the Job Bootcamp?
Industry mentors are experts from reputed companies who have proven competencies in specific fields and are excellent guides to help you determine your next steps in the industry. They will conduct mock interviews with you on a one-on-one basis and provide detailed feedback.
7. Which job roles will I be eligible for after the Data Analyst Bootcamp?
After completing the program, you'll qualify for a range of job positions, such as Data Analyst, Business Analyst, Data Visualization Analyst, Statistical Analyst, and other related analytical roles in the industry.
8. Where are Coding Ninjas Data Analyst Bootcamp alumni currently employed?
Our learners are employed at over 1,200 companies that have hired from us in the past. More than 1,400 of our alumni are placed in MAANG companies, and many are also employed in 103 out of 116 Indian unicorns.
9. How do I get my doubts resolved during the Data Analytics Bootcamp?
Our team of over 1,000 teaching assistants is available 7 days a week from 10 AM to 12 AM to provide one-on-one support. You can connect with them via chat, audio call, or screen sharing to resolve your queries.
10. Do I need a computer science degree to apply?
We believe that a degree is no substitute for determination and a passion for learning. That's why we welcome individuals from any and every background to join the program.
