Introduction to Python and Data Science

Working with Python Data Structures

Control Flow Statements

Functions in Python

File Handling in Python

Regular Expressions

Object Oriented Programming

Advanced-Data Structures in Python

Python for Data Visualization

Extracting and Aggregating Pandas,Matplot, Seaborn,Plotly and Cuffinks

Introduction to SQL and MySQL

Data Creation and Retrieval

Data Filtering

Data Analysis using aggregate functions and group by

Joins and Keys

MySQL Joins

Subqueries and Views

Window/Analytical Functions

Introduction to Tableau / Power BI

Creating charts, graphs, and maps

Calculated fields and table calculations

Interactive dashboards

Search algorithms

Introduction to popular AI frameworks: TensorFlow, PyTorch, scikit-learn

Natural Language Processing (NLP)

Introduction to Time Series Data

Sentiment analysis

Forecasting Techniques

Types of machine learning

Modeling with Linear Regression

Evaluating Models & Feature selection

Regularisation Techniques

Modeling with Logisitc Regression

Understanding other classification

algorithm like KNN & SVM

Advanced Model Evaluation Techniques

Introduction to Clustering and K Means

Advanced Clustering Techniques

Building blocks of Deep Learning

Understanding the Components of a Neural Network

Introduction to Convolutional Neural Networks (CNN)

Overview of Transfer Learning

Introduction to Recurrent Neural Networks

Overview of LSTM and GRU

Introduction to Bidirectional Networks

RNN Use Cases in the Industry

Introduction to Transformers

Overview of Autoencoders