NASSCOM FutureSkills - Data Science Course
- Offered byInnomatics Research Labs
Data Science Course at Innomatics Research Labs Overview
Duration | 6 months |
Mode of learning | Online |
Official Website | Go to Website |
Credential | Certificate |
Data Science Course at Innomatics Research Labs Highlights
- Earn a certificate after completion of course
- G100% placement assistance
- 24/7 support
- Life-Time Access
Data Science Course at Innomatics Research Labs Course details
Freshers
Analysts
Software engineers
This advanced NASSCOM FutureSkills Prime Certified Data Science course in Hyderabad guarantees career transformation
One-time opportunity to learn with the best Data Science training in Hyderabad
Gain knowledge of data analytics, tools, and operations for data science certification and meet the massive demand for these skills
Data Science Course at Innomatics Research Labs Curriculum
Module 1: Python Core and Advanced
Introduction
Data Types and Data Structures
Module 2: Data Analysis in Python
Numpy – NUMERICAL PYTHON
Data Manipulation with Pandas
Module 3: Advanced Statistics
Introduction to Statistics and Data Types
Descriptive Statistics
Probability Distribution
Inferential Statistics
Module 4. Data Base (SQL) + Reporting Tool (Power BI)
Introduction to SQL
Data Exploration and Data Filtering (DQL and OPERATORS)
SQL Fundamentals
SQL Database Objects
Advanced Topics
Introduction To Power BI
Data Import And Data Visualizations
Power Queries
Power Pivot And Introduction To Dax
Data Analysis Expressions
Login, Publish To Web And RLS
Module 5: Machine Learning - Supervised & Un-Supervised Learning
Introduction
Validation Methods
Module 6: Deep Learning
Introduction to Deep Learning
Principal Components Analysis
Neural Network Architecture and Activation Functions
Forward and Backward Propagation Optimizers
Neural Network Architecture and Activation Functions
Keras Hands-on – Regression and Classification
Module 7: CNN & Computer Vision
Intro to Images and Image Preprocessing with OpenCV CNN Architecture
Image Classification Case Study
Transfer Learning
Case Study with Transfer Learning
Object Detection
Module 8: Natural Language Processing
Introduction to text and Text Preprocessing with nltk and spacy
Vectorization Techniques
Project – Text Classification
RNNs
Project – Sequence Tagging
LSTMs
Auto Encoders
Transformer and Attention
BERT
Module 9: Gen AI
Intro To Gen AI
Intro To LLM
Prompt Engineering and Working with LLM
Open AI
Gemini
LLaMA
LangChain