Course Details

Data Science & Analytics With Generative AI

  • 28-29 Weeks

Description

Unlock the future of data with our comprehensive course on Data Science and Analytics, enhanced with cutting-edge Generative AI techniques. This program equips you with the skills to analyze complex datasets, uncover hidden patterns, and generate innovative solutions using the latest advancements in AI. Learn from industry experts, engage in hands-on projects, and become proficient in tools and technologies that are shaping the world of data science. Whether you’re aiming to advance your career or break into the field, this course provides the knowledge and practical experience needed to excel.

Key Highlights:

  • Comprehensive curriculum covering Data Science fundamentals to advanced Generative AI techniques
  • Hands-on projects and real-world applications
  • Instruction from industry-leading experts
  • Focus on current tools and technologies

Benefits

  • Easy EMI option with 0% interest
  • Live & Recorded Sessions for 25 Weeks.
  • Fresher’s CTC Range 3 to 7 LPA
  • Working Professional CTC Range Minimum 25% to 50% Hike
  • Unlimited Interviews until Placed
  • Real time case studies and project preparation
  • Resume Building Sessions
  • Interview Debrief and Assistance

Course Syllabus

Week 1: Introduction to Data Science & AI, Excel Fundamentals
Week 2: Working with Data in Excel, Python Programming Basics
Week 3: Data Structures & Control Flow in Python, Introduction to Functions
Week 4: Building Your Python Environment & Libraries
Week 5: Introduction to SQL, Relational Database Concepts
Week 6: Advanced SQL Queries & Data Manipulation
Week 7: Descriptive Statistics & Data Exploration
Week 8: Probability & Hypothesis Testing, Introduction to Pandas
Week 9: Data Cleaning & Preprocessing with Pandas
Week 10: NumPy for Numerical Computing, Introduction to Machine Learning
Week 11: Supervised Learning Algorithms (Classification & Regression)
Week 12: Unsupervised Learning (Clustering & Dimensionality Reduction)
Week 13: Model Evaluation & Tuning, Introduction to Scikit-learn
Week 14: Introduction to Deep Learning, Artificial Neural Networks
Week 15: Convolutional Neural Networks (CNNs) for Image Recognition
Week 16: Recurrent Neural Networks (RNNs) for Sequence Data
Week 17: Introduction to Time Series Analysis, ARIMA Models
Week 18: Time Series Forecasting with Prophet
Week 19: Introduction to Natural Language Processing (NLP)
Week 20: Text Preprocessing & Tokenization, Sentiment Analysis
Week 21: Topic Modeling & Text Classification with NLP
Week 22: Introduction to MLOps, Model Deployment & Monitoring
Week 23: Version Control for Machine Learning Projects
Week 24: Introduction to Generative AI (GANs & VAEs)
Week 25 & 26: Final Project Development & Presentation

 
Note: This is a condensed schedule for illustrative purposes. The actual program may involve more
in-depth coverage of topics, additional labs and exercises, and dedicated time for project
development.

FAQ

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Course Details:

Instructor

Ms. Supriya Jadhaw

Techincal Session Duration

26-27 Weeks

Soft Skill Sessions

48 Hours

Batch Max Size

10-15

Resume Built & Placement Interview Sessions

2nd Month Onwards

Language:

English

Certifications

Digital, Physical