Python

Data Science Track

SNo Module Topic Course Content Number of Hours(Trainer Hours) Number of Hours Practice Evaluatives
1
Python Programming
 Python Setup, Object and Data Structures,Comparison Operators Installation and Setup of Python, Numbers, String Indexing,String Slicing,String Formatting ,Lists,Dictionaries, Tuples,Sets, Comparison Operators 2 6 Coding Test 1    
Control Flow If, ElseIf,While, For Loops 6 18 Coding Test 2    
Functions How to write a function,Built-In Function , Positional vs Keywords Arguments,Global vs Local Variables, Recursive Functions,Nested Functions, Returning Functions, Lambda Statements 8 24 Coding Test 3    
Object Oriented Programming Introduction To OOP, Class vs Object, How to Create a Class, Self and Constructor, Instance and Class Variables and Method, Inheritance, Polymorphism 12 36 Coding Test 4    
Modules in Python Overview of Pandas , Numpy , Seaborn, Matplotlib 8 24 Coding Test 5    
Decorators Decorators and Higher rated functions 6 18 Coding Test 6    
Generators Learn how to write generator functions , yield statements 6 18 Coding Test 7    
2
Data Analytics and Data Science
 Introduction to Statistics Descriptive and Inferential Statistics , Probaibilty ,Bayes Rule, Hypothesis Testing, Sampling,Confidence Intervals 12 36 Theoretical Test 1  
Industry Project 1
Exploratory Data Analysis Steps Involved in EDA , Handle Missing Values, Normalization,Feature Binning, Feature Encoding,Data Cleaning, Univariate and Bivariate Analysis 12 36 Theoretical Test 2
Assignment 1
Statistical Models Linear and Logistic Regression, Logistic Regression ,Cluster Analysis,K means clustering , KNN, SVMs,PCA,LDA 18 54 Assignment 2
Model Selection and Boosting Evaluation Metrics, Bias Variance tradeoffs,Gridsearch,K Folds Cross Validations,Bagging and boosting, XGboost,Adaboost 18 54 Assignment 3 Theoretical Test 3
3
Deep Learning and Gen AI
 Deep Learning 1 Introduction to Neural Networks , ANNs, CNNs , Overfitting, Initialization,Preprocessing 24 72
Assignment 4
  
Industry Project 2
Deep Learning 2 RNNs , LSTMs , Autoencoders , GANs 30 90  
Introduction to NLP Tokeinzation , Text Preprocessing, One Hot Encoding, Bag of Words,Ngram, TF-IDF,Word Embedding , Word to Vec, 18 54    
Transformers Attention Mechanism , Multi Head Attention,Layer Normalization, 24 72
Assignment 5
  
Gen AI Introduction to Gen AI, Components and modules, in Langchain,Open AI and LLAMA,Prompt Engineering 30 90  
4
SQL
 Creating Tables and Databases Data Types, Primary and Foreign Keys, CRUD Statements, Inserting Data into tables 4 12 Coding Test 8
Industry Project 3
  
SQL Statements and Functions SELECT Statement , Distinct, Where operator,order by ,in , like, between , length ,lower,upper,concatenate,position substring etc and other misc statements and functions 6 18 Coding Test 9  
Grouping Group By and Having 6 18 Coding Test 10  
Conditional Expressions Mathematical Functions and Operators, Case when, Coalsce,Cast, Replace 8 24 Coding Test 11  
Joins Inner Joins,Outer Joins ,Self Join , Left/Right joins and other advanced joints , join multiple tables 12 36 Coding Test 12  
Advanced SQL Union and Subqueries,Window Functions,Views,Partitions,Transactions 30 90 Coding Test 13