Fast-Track to Data Greatness: Science, Analytics, Engineering & Gen AI
- Learn the essentials of Data Science, Analytics, and Engineering in one comprehensive course, enhanced with Generative AI skills. In just 4-5 months, master Python, SQL, Machine Learning, Data Visualization (Tableau/Power BI), ETL pipelines, Cloud Platforms (AWS/Azure), and Gen AI tools like ChatGPT.
- Gain hands-on experience with real-world projects, personalized mentorship, and placement support to become job-ready in the data-driven world!
FREE LIVE SESSION FOR JUST 100 STUDENTS!!!
Get guidance and clear your doubts.
Your Data Career, Supercharged:
Data Science, Analytics, Engineering & Gen AI Combo
Fast-Track to Job Readiness:
Master in-demand skills in just 4-5 months.
All-in-One Solution:
Covers Data Science, Analytics, Engineering, and Gen AI in one powerful course.
Generative AI Edge:
Learn cutting-edge AI tools like ChatGPT to stay ahead in the industry.
Career Switch Made Easy:
Perfect for freshers and career switchers from any background.
Placement Statistics
- Average Salary Hike: 150%
- Placement Rate: 92%
- Companies Hiring: Google, Amazon, Microsoft, IBM, Deloitte, and more
- Roles Secured: Data Scientist, ML Engineer, AI Developer, Data Analyst
Your Gateway to High-Paying Data Jobs in India:
Data Science, Analytics, Engineering & Gen AI
Why Should You Do This Course?
High Demand, High Pay
Data roles are booming in India, with companies across IT, finance, e-commerce, and more looking for skilled professionals.
Comprehensive Learning for End-to-End Expertise
This course equips you with a blend of:.
Future-Proof Your Career with Gen AI
Generative AI is shaping the future of data jobs in India. Companies are paying premiums for professionals who can integrate AI tools into traditional data roles.
Quick Career Switch in Just
4-5 Months
Designed for beginners or career switchers, this course lets you break into the industry without prior coding experience.
Job Placement Assistance
Massive Career Growth in the Indian Market
Generative AI is shaping the future of data jobs in India. Companies are paying premiums for professionals who can integrate AI tools into traditional data roles.
Make Your
Count....
In a rapidly growing Indian job market, this course is your ticket to:
- Lucrative Pay: Secure salaries far above the national average.
- Job Security: Work in roles that are resistant to automation and outsourcing.
- Career Satisfaction: Be at the forefront of technological innovation.
Comprehensive Course Syllabus & Tools
Duration: 4-5 Months
Goal: Become job-ready with expertise in Data Science, Data Analytics, Data Engineering, and Generative AI integration.
Data Science Fundamentals
Gain a solid foundation in handling and modeling data to derive meaningful insights.
Introduction to Data Science
- What is Data Science?
- Data Science Lifecycle
- Applications of Data Science
- Python Basics (Variables, Loops, Functions)
- Libraries: Pandas, NumPy for Data Manipulation
- Data Cleaning and Preprocessing
- Descriptive Statistics (Mean, Median, Mode, Variance)
- Hypothesis Testing
- Probability Distributions (Normal, Binomial, Poisson)
- Identifying Trends, Outliers, and Patterns
- Visualization with Matplotlib and Seaborn
- Types of Machine Learning (Supervised, Unsupervised)
- Algorithms:Supervised: Linear Regression, Logistic Regression , Unsupervised: Clustering (K-Means), Dimensionality Reduction (PCA)
- Building Predictive Models
- Deployment with Flask or Streamlit
Data Analytics Expertise
Learn to analyze and visualize data for actionable business insights.
- Advanced Formulas and Functions
- Pivot Tables and Charts
- Data Cleaning in Excel
- Writing Queries to Retrieve Data
- Joins, Subqueries, and Aggregations
- Creating and Managing Databases
- Best Practices for Data Visualization
- Creating Dashboards and Reports
- KPI Development
- Analyzing Trends and Performance Metrics
Presenting Data-Driven Insights Effectively
Data Engineering Essentials
Master the backend processes to build, manage, and maintain data workflows.
Introduction to Data Engineering
- Role of Data Engineers
- Data Architecture Overview
- Designing Data Pipelines
- Data Transformation Techniques
- Overview of Apache Hadoop and Spark
- Handling Large Datasets
- Concepts of OLAP and OLTP
- Building Data Warehouses with Redshift
- AWS Basics (S3, Redshift)
- Azure Data Factory for Pipeline Management
Generative AI (Gen AI) Integration
Understand and implement cutting-edge Generative AI technologies.
- What is Gen AI?
- Applications Across Industries
- Tokenization, Sentiment Analysis
- Text Summarization and Translation
- Prompt Engineering Basics
- Integrating ChatGPT into Applications
- Creating Synthetic Data
- Automating EDA Tasks with Gen AI
- Developing Custom AI Solutions
- Ethical Considerations in AI
Master Industry-Leading Tools:
From Python to Power BI, Spark to Gen AI – All in One Course!
You want to know more?
Download the course brochure to learn more about the data science with Gen AI PG course.
What Our Students Say
Don't take our word for it! Here's what some of our course completers say:
FAQs
No prior knowledge of data science is required! We begin our course from the basics and gradually build up to advanced topics. Basic understanding in programming and statistics can be helpful but is not mandatory.
This course usually lasts between three to six months depending on the class schedule you want; whether full time or part time, you will have sufficient time to digest and have a chance to practice your skills.
Yes! Once you complete the course, you get a certificate that you may attach to your resume or update on LinkedIn. The certificate is proof that you can do data science and analytics.
We have job placement support. This includes creating a resume, interview preparations, and connecting you through our network of industry-related contacts. We will put you on the road toward your career.
All course resources are inclusive in the fees. In case you require more resources or other software for personal use, the costs will be supplementary.
You will gain hands-on experience with popular tools like Python, R, SQL, Tableau, and TensorFlow, among others.
Yes! You’ll complete a capstone project that showcases your skills. This project will be a part of your portfolio when you apply for jobs.
Absolutely! We offer both in-person and online classes, so you can choose the format that works best for you.
We keep our class sizes small, typically around 15-20 students, to ensure personalized attention and interaction.
Our approach combines lectures, hands-on labs, group discussions, and real-world projects to reinforce learning.
Yes! We provide ongoing support through our alumni network, including access to resources and job opportunities.
Yes! If you enroll as a group, we offer special discounts. Please contact us for more details.
You can easily enroll through our website or by visiting our academy. Just fill out the registration form, and our team will assist you.
We have a clear refund policy. If you withdraw within the first weeks of the course, you’ll receive a full refund.
While internships are not mandatory, we can assist you in finding internship opportunities that match your skill set.
Your assessment will be based on assignments, quizzes, participation in projects, and the final capstone project.
Yes! If you need to switch formats during the course, just let us know, and we’ll accommodate your request.
Yes! We cover foundational concepts in big data technologies such as Hadoop and Spark.
Absolutely! Many of our students come from non-technical backgrounds and successfully transition into data science careers.
Graduates have gone on to roles such as Data Analyst, Data Scientist, Machine Learning Engineer, and Business Analyst, among others.
Most of the tools we use are free or open-source, so you won’t need to purchase software for the course.
If you have an interest in data analysis, problem-solving, and technology, this course is likely a great fit for you.
Basic computer skills and a reliable internet connection are essential for online learning.
Yes! We offer demo classes so you can get a feel for our teaching style and curriculum
We record all classes, so you can catch up on any missed material at your convenience.
We offer flexible payment plans and may have financial aid options. Contact us for more information.
Yes, we cover data ethics and best practices to ensure responsible data usage.
We encourage our alumni to join our networking events and subscribe to industry publications and forums for the latest updates.
We offer resume reviews, mock interviews, and access to job postings in the data science field.
We facilitate networking through workshops, events, and online forums where you can connect with peers and alumni.