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Data Science & AI - From Python to GenAI

The Data Science & AI - From Python to Gen AI Pack is a comprehensive program designed for individuals looking to master the world of Data Science, Artificial Intelligence (AI), and Machine Learning (ML) from fundamentals to advanced levels. This pack covers essential concepts, tools, and hands-on applications, enabling learners to build real-world AI/ML models and data-driven solutions.

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COURSES COVERED

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Python For Data Analytics
(4.1)
6hr 7min
Python For Data Analytics

By Satyajit Pattnaik

  • Recorded Lessons: 18
  • Recorded Hours: 6hr 7min
  • Duration: 7 days   (Avg)
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Exploratory Data Analysis
(4.1)
4hr 44min
Exploratory Data Analysis

By Satyajit Pattnaik

  • Recorded Lessons: 33
  • Recorded Hours: 4hr 44min
  • Duration: 5 days   (Avg)
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Business Statistics for Data Science
(4.1)
5hr 24min
Business Statistics for Data Science

By Satyajit Pattnaik

  • Recorded Lessons: 57
  • Recorded Hours: 5hr 24min
  • Duration: 6 days   (Avg)
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SQL for Data Analysis
(4.9)
5hr 12min
SQL for Data Analysis

By Satyajit Pattnaik

  • Recorded Lessons: 19
  • Recorded Hours: 5hr 12min
  • Duration: 6 days   (Avg)
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Machine Learning
(4.6)
20hr 13min
Machine Learning

By Satyajit Pattnaik

  • Recorded Lessons: 86
  • Recorded Hours: 20hr 13min
  • Duration: 21 days   (Avg)
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Time Series Analysis
(4.5)
7hr 40min
Time Series Analysis

By Satyajit Pattnaik

  • Recorded Lessons: 60
  • Recorded Hours: 7hr 40min
  • Duration: 8 days   (Avg)
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Deep Learning
(4.6)
5hr 50min
Deep Learning

By Satyajit Pattnaik

  • Recorded Lessons: 33
  • Recorded Hours: 5hr 50min
  • Duration: 6 days   (Avg)
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Natural Language Processing
(4.9)
8hr 53min
Natural Language Processing

By Satyajit Pattnaik

  • Recorded Lessons: 44
  • Recorded Hours: 8hr 53min
  • Duration: 9 days   (Avg)
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Transformer & Gen AI
(4.1)
8hr 39min
Transformer & Gen AI

By Satyajit Pattnaik

  • Recorded Lessons: 42
  • Recorded Hours: 8hr 39min
  • Duration: 9 days   (Avg)
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Model Deployment
(4.9)
1hr 49min
Model Deployment

By Satyajit Pattnaik

  • Recorded Lessons: 7
  • Recorded Hours: 1hr 49min
  • Duration: 2 days   (Avg)
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Data Engineering Basics (ETL)
(4.9)
39min
Data Engineering Basics (ETL)

By Satyajit Pattnaik

  • Recorded Lessons: 11
  • Recorded Hours: 39min
  • Duration: 1 day   (Avg)
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Interview Preparation
(4.4)
4hr 49min
Interview Preparation

By Satyajit Pattnaik

  • Recorded Lessons: 30
  • Recorded Hours: 4hr 49min
  • Duration: 5 days   (Avg)
View Details

Frequently Asked Questions

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What is Pack?

A "pack" refers to a bundle of courses or services that we offer on a subscription basis. These packs are curated to provide you with access to multiple online courses or resources under one affordable plan.

A collection of online courses grouped by topic or skill set (e.g., Digital Marketing Pack, Web Development Pack).

Subscription packs provide access to a variety of courses for a set period (e.g., monthly, quarterly, or annually). Once subscribed, you can learn anytime, anywhere during the active subscription period.

Each pack includes access to all the courses, resources, and tools relevant to that particular bundle. This includes-Recorded Lectures, Study materials (e.g., PDFs, Documents and more), Certification upon course completion (depending on the course), assessment tests, etc.

Packs are ideal for-Learners who want to explore multiple topics or skills at an affordable price, Professionals looking to upskill in specific domains, Students aiming for comprehensive learning across a wide range of subjects.

Data Science & AI - From Python to GenAI

This pack is a comprehensive course that covers Data Science, Artificial Intelligence, and Generative AI, starting from Python programming to advanced AI models like GenAI.

This course is designed for beginners, intermediate learners, and professionals who want to master Data Science, AI, and Generative AI.

Python for Data Science, Machine Learning, Deep Learning, Generative AI

Yes, case studies are included to provide practical experience in AI, ML, and GenAI applications.

Basic programming knowledge (preferably in Python) is helpful but not mandatory. The course starts with Python fundamentals and gradually moves to advanced AI topics.

Student Support

Student support includes mentorship, counseling, and learning resources.

Students can schedule counseling sessions through the student portal or contact support directly.

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