● Data Types
● Measure Of central tendency
● Measures of Dispersion
● Graphical Techniques
● Skewness & Kurtosis
● Box Plot.
● Random Variable
● Probability
● Probability Distribution
● Normal Distribution
● SND
● Expected Value
● Sampling Funnel
● Sampling Variation
● Central Limit Theorem
● Confidence interval

● Introduction to Hypothesis Testing
● Hypothesis Testing ( 2 proportion test, 2 t sample t test)
● Anova and Chi Square

● Principles of Regression
● Intro to Simple Linear Regression
● Multiple Linear Regression
● Logistic Regression

● Data Cleaning
● Imputation Techniques
● Data analysis and Visualization
● Scatter Diagram
● Correlation Analysis
● Transformations
● Encoding Methods - OHE, Label Encoders,Outlier detection-Isolation Forest and Calculating the Predictive Power Score (PPS)

● Clustering introduction
● Hierarchical clustering
● K Means
● DBSCAN
● PCA
● Association Rules
● Recommender System
● Python Model Deployment

 Regression Tasks / Classification Tasks
● Decision Tree
● KNN
● Support Vector Machines
● Feature Engineering (Tree based methods, RFE,PCA)
● Model Validation Methods (train-test,CV,Shuffle CV, and Accuracy methods)
● Lasso and Ridge Regressions

 ANN
● Optimization Algorithm(Gradient descent)
● Stochastic gradient descent(intro)
● Back Propagation method
● Introduction to CNN

● Bagging and Random Forest
● Boosting
● XGBM
● LGBM

● Introduction to Text Mining
● VSM
● Intro to word embeddings
● Word clouds and Document Similarity using cosine similarity
● Named Entity Recognition
● Text classification using Naive Bayes
● Emotion Mining

● Introduction to Time Series
● Level
● Trend and Seasonality
● Strategy
● Scatter plot
● Lag plot
● ACF
● Principles of Visualization
● Naive forecasts
● Forecasting Error and it metrics
● Model Based Approaches
● AR Model for errors
● Data driven approaches
● MA
● Exponential Smoothing
● ARIMA

● Python Introduction- Programing Cycle of Python,PythonIDE and Jupyter Notebook

● Variables
● DataType

● Github
● HackerRank
● CodeWars and Sanfoundry Account Creation Number
● String
● List
● Tuple
● Dictionary

● Operator-Arithmetic
● Comparison
● Decision Making-Loops
● While Loop
● For Loop and Nested Loop
● Number Type Conversion-int(), long().Float()
● Strings-EscapeChar
● String Special Operator
● String Formatting Operator

● Python List
○ Accessing values in list
○ Delete list elements
○ Indexing, Slicing & Matrices

● Tuples
○ Accessing values in Tuples
○ Delete Tuples elements
○ Indexing
○ Slicing & Matrices

● Dictionary
○ Accessing Values from Dictionary
○ Deleting and Updating Elements in Dict
○ Properties of Dist
○ Built-In Dist Functions & Methods
○ Dict Comprehension

● Function
○ Define Function
○ Calling Function
○ Pass by Reference as Value
○ Function Arguments
○ Anonymous Functions
○ Return Statements

● Scope of Variables
○ Local & Global
○ Decorators and Recursion
○ Import Statements

● Locating Modules
○ Current Directory
○ Python path
○ Dir() Function
○ Global and Location Functions & Reload() Functions
○ Sys Module and Subprocess Module
○ Packages in Python

● Files in Python
○ Reading Keyboard Input
○ Input Function
○ Opening and Closing Files
○ Syntax and List of Modes
○ Files Object Attribute Open,Close.
○ Reading and Writing Files
○ File Position Directories Mkdir Method
○ Chdir() Method
○ Getcwd Method
○ Rmdir

● Exception Handling
○ List of Exceptions
○ TryandException

● OOP Concepts, Class, Objects, Inheritance, Overriding Methods like __init__, Overloading
Operators, Data Hiding

● Match Function
● Search Function
● Matching Vs Searching
● Regular Exp Modifiers and Patterns

● Database Connectivity
● Methods
○ MySQL
○ Oracle
○ How to Install MySQL
○ DB Connection

● Introduction to Databases
● Introduction to RDBMS
● Different types of RDBMS
● Software Installation(MySQL Workbench)

● What is Tableau ?
● What is Data Visualization ?
● Tableau Products
● Tableau Desktop Variations
● Tableau File Extensions
● Data Types
● Dimensions
● Measures
● Aggregation concept
● Tableau Desktop Installation
● Data Source Overview
● Live Vs Extract

● Bar Chart
● Pi-Chart
● Heat Maps
● Histogram
● Maps
● Scatterplot
● Donut Chart
● Waterfall Chart etc..
● Dual axis
● Blended axis

● Dimension Filter
● Measure Filter
● Data Source Filter
● Extract Filter
● Context Filter
● Quick Filter
● Basic Calculations
● Table Calculations
● Quick Table Calculations
● LOD's
● KPI's

● Joins
● Relationship
● Data Blending
● Union

● Hierarchy
● Group
● Sets
● Parameters

● Reference Lines
● Trend Line
● Forecasting
● Clustering
● Dashboard Objects
● Dashboard Actions
● Tableau Public website

● Data Definition language
● Data Manipulation Language
● Data Query Language
● Transactional Control Language
● Data Control Language

● SELECT
● LIMIT
● DISTINCT
● WHERE
● AND
● OR
● IN
● NOT IN
● BETWEEN
● EXIST
● ISNULL
● IS NOT NULL
● WILD CARDS
● ORDER BY
● GROUP BY
● HAVING

● COUNT
● SUM
● AVG
● MIN
● MAX
● COUNT
● String Functions
● Date & Time Function

● NOT NULL
● UNIQUE
● CHECK
● DEFAULT
● ENUM
● Primary key
● Foreign Key (Both at column level and table level)

● Inner
● Left
● Right
● Cross
● Self Joins
● Full outer join

● Index
● View
● Sub-query
● Window Functions
● Stored Procedures
● Exception Handling
● Loops
● Cursor
● Triggers

● Introduction
● DeepLearningImportance[Strength & Limitation]
● SP | MLP Neural Network Overview
● Neural Network Representation Activation Function
● Loss Function Importance of Non-LinearActivation Function
● Gradient Descent for NeuralNetwork

● Train
● Test & Validation Set
● Vanishing &ExplodingGradient
● Dropout Regularization
● OptimizationAlgo
● LearningRate
● Tuning
● Softmax

● CNN
● Deep Convolution Model
● Detection Algorithm
● CNN FaceRecognition

● RNN
● LSTM
● BiDirectionalLSTM

● Introduction to BigData, Challenges in Big Data and Workarounds| Introduction to Hadoop
and Its Components|HadoopComponents and Hands-On|Understand the Map Reduce
and Its Drawbacks

● Introduction to Spark and DataBricks|Spark Components, Spark MLlib Spark & DataBricks
and Hands-On One ML Model in Spark

● Cloud Computing
● Azure Cloud Platform
● Cloud Applications
● Cloud Services
● Open AI Studio

● Data Structures & Operators in R|Conditional Statement|Decision
Making|Loops|Strings|Functions|How to Import Data set in R| Programming Statistical
Graphics

● Introduction to ChatGPT and AI
● Types of AI and ChatGPT architecture
● ChatGPT Functionalities and Applications
● ChatGPT Prompt Engineering