Tech Parenthesis

Data Science & Gen AI Career Program

120 hours 0 Enrolled No ratings yet Intermediate

📘 Data Science & AI Course – Live Online Training
By TechParenthesis

Build strong foundations in Data Science, Machine Learning, Python, SQL, and Generative AI through a structured, hands-on learning program designed for beginners, students, job seekers, and working professionals.

This 3-Month Live Online Course helps learners understand how data is collected, analyzed, and transformed into meaningful insights using practical concepts and industry-relevant tools. Starting from Python and SQL fundamentals, the course gradually progresses into Statistics, Exploratory Data Analysis (EDA), Machine Learning, Deep Learning, NLP, and Generative AI concepts.

🚀 What You Will Learn

🐍 Python for Data Science
Learn Python fundamentals, data structures, functions, OOP concepts, file handling, and powerful libraries such as NumPy, Pandas, and Matplotlib for data analysis and visualization.

🗄️ SQL for Data Science
Understand databases, SQL queries, joins, views, nested queries, stored procedures, and SQL + Python connectivity for handling structured data.

📊 Probability & Statistics
Build mathematical foundations for Data Science including probability, distributions, sampling, correlation, Bayes theorem, hypothesis testing, and statistical analysis.

📈 Exploratory Data Analysis (EDA)
Learn data cleaning, handling missing values, feature scaling, standardization, normalization, and preparing datasets for analysis.

🤖 Machine Learning
Explore Regression, Classification, Clustering, Feature Engineering, PCA, LDA, and Time Series Forecasting concepts with practical understanding.

🧠 Deep Learning & NLP
Get introduced to ANN, CNN, RNN, LSTM, along with Natural Language Processing concepts like tokenization, bag of words, POS tagging, and named entity recognition.

Artificial Intelligence & Generative AI
Understand AI fundamentals, ethics, GPT, Transformers, LLM basics, Prompt Engineering, and LangChain concepts for modern AI applications.

🛠️ Projects & Interview Guidance
Practice through module-based projects, resume preparation, and mock interview guidance to improve confidence and practical understanding.

🌟 Course Highlights

✅ Live Interactive Online Sessions
✅ Beginner-Friendly Learning Path
✅ Hands-on Practice & Projects
✅ Recordings Provided for Reference
✅ Interview Guidance & Resume Support
✅ Practical Exposure to Data Science & AI Concepts
✅ Structured Learning from Basics to Advanced Topics

🎯 Whether you are a student, graduate, working professional, or career switcher, this course is designed to help you build practical understanding and confidence in Data Science & AI concepts through structured learning and guided practice.

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10,000.00 15,000.00
Incl. Tax

What's included

  • 1️⃣ Structured Academic Curriculum
  • Carefully designed 3-Month Industry-Oriented Roadmap
  • Foundations in Statistics, Mathematics & Programming
  • Advanced Machine Learning & AI Modules
  • 2️⃣ Instructor-Led Live Sessions
  • High-quality, interactive virtual classroom experience
  • Concept-driven teaching with practical demonstrations
  • Dedicated Q&A and problem-solving sessions
  • 3️⃣ Session Recordings (Extended Access)
  • Full access to recorded lectures for revision
  • Structured module-wise video repository
  • Self-paced reinforcement support
  • 4️⃣ Academic Learning Resources
  • Professionally curated PDF notes
  • Concept explanation documents
  • Reference materials & curated reading lists
  • Practice problem sets
  • Capstone Project Framework

Requirements

  • Basic computer knowledge and a willingness to learn are enough. No prior programming experience is required.

Audience

  • Freshers, students, and working professionals who want to start or switch to a career in Data Science & AI.

What Will I Learn?

  • Learn Python, SQL, Data Analysis, Machine Learning, and Generative AI with real-world projects.
  • Build a strong portfolio and gain job-ready skills for Data Science and AI roles.
MM Chowdary

MM Chowdary

5.0Instructor Rating
66
Students
20
Courses
5
Reviews
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