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• 1. What is Artificial Intelligence & how it’s changing the world? Using Awesome Background
  2. What is Data science?
  3. What is Data Analysis & Business Analysis?
  4. Introduction to Data.
  a. Types of data
  b. Categories of data.
  5. Measurement & Scale
  6. Scaling Techniques
  7. Sampling
  8. Sampling Techniques
  9. Introduction and Importance of Google Cloud Platform

• • Statistics:
  – Central Tendency
  – Measures of Spread
  – Outliers
  – Correlation
  – Covariance
  – Quartiles
  – Interquartile range
  – Skewness
  – Standardization
  – Normalization
  – Hypothesis Testing
  – Chi-Square testing
  – ANOVA

  • Probability:
  – Kinds of Probability
  – General Addition Rule
  – Distribution
  – Normal distribution
  – Binomial distribution
  – Poisson distribution
  – Uniform Distribution

• • Introduction to Python
  • Anaconda software introduction and installation
  • Python – Fundamentals
  – Python – Syntax
  – Python – Variables and Datatypes
  – Python – Numbers
  – Strings
  – Sequences
  – List
  – Tuples
  – Ranges
  – Dictionary
  Python
  – Array
  – Sets
  – Operations
  – Statements
  – Loop
  – Date & Time
  – Functions
  – Packages and modules
  – Reading a File
  – Writing into File
  – Python – Exceptions
  – Regular Exp

• NumPy (with updated methods)
– NumPy Introduction & Installation
– NumPy Array creation
– NumPy Operations
– Mathematical functions with NumPy
– Indexing
– Slicing
– Iterating
– Shape Manipulation
– Split function
– Types of copy

Pandas (with updated methods)
– Introduction and Installation
– Data creation
– Data handling
– Import & Export Data
– Data Frame creation
– Indexing
– Data viewing
– Data view with Mathematical functions
– Resample
– Sorting
– Boolean Indexing
– Merge
– Join
– Append
– Reshaping
– Grouping
– Pivot Tables
– Time series
– Melt

• Matplotlib (Graphical data visualization)
– Introduction and Installation
– Line plot
– Bar plot
– Histogram
– Scatter plot
– Pie chart
– Bar chart
– 3-d plot
• Seaborn
– Introduction and Installation
– Data Plotting graphs

• • Basics of Excel
  • Data management and Formatting
  • Statistical Formulas implementation
  • Short cut keys
  • Pivot table

• Data Analysis Introduction
• Types of Analysis
– Univariate Analysis
– Bivariate Analysis
• Data Preprocessing
– Data Cleaning
– Missing value treatment
– Outlier treatment
– Data transformation

• Histogram Plot • Bar Plot (Vertical & Horizontal) • Density Plot • Box Plot • Pie Plot • Line Plot • Correlation Matrix • Scatter Plot • Joint Plot • Heat map Plot

• A brief Introduction to Machine Learning
• How Machine Learning Helping the Technology?
• Types of Machine Learning
• Supervised Learning
– Regression
– Classification
• Unsupervised Learning
– Clustering
– Recommendation
– Principal component Analysis
• Reinforcement Learning (Self Supervised Learning)
• Data set Models
– Underfitting model
– Overfitting model
– A good fit model

• Regression Algorithms
– Linear Regression
– Logistic Regression
• Linear discriminant Analysis
• Gradient descent Algorithm
• Tree Algorithm
– Decision tree
– Random forest
• KNN Algorithm
• Naive Bayes Algorithm

• Support vector machines algorithm
• XGBoost
• Clustering Algorithms
– K Means Clustering
– Hierarchical Clustering
• Dimensionality Reduction
• Time Series Forecasting (ARIMA, SARIMA, MA, Prophet, Holts)
• SKLearn package for Algorithms implementation.

• Model Validation Metrics
– Regression:
• R squared
• Adjusted R Squares
• Mean Squared Error (MSE).
• Root Mean Squared Error (RMSE).
• Mean Absolute Error (MAE)
– Classification:
• Confusion Matrix
• Accuracy
• Precision
• Recall
• Sensitivity
• Specificity
• F1 Score
• AUC & ROC Curve

• Introduction to Deep learning
• How Deep Learning changing the World
• Neural Networks
– Introduction
– Convolution Neural network
– Artificial Neural network
– Deep Neural network
• Tensor flow
• Open CV

• Optical Character recognition (OCR)
• Image Processing
• Basics and Importance of Big Data

• Importance of Cloud
• Introduction to Google Cloud Platform
• Project Setup
• Introduction to GCP Administration
• GCP Cloud Storage (Data Storage tool)
• GCP Vertex AI (Data Science Work Notebooks and API’s
Platform)
• GCP Bigquery

Assignments for every topic
– 4 – Real Time projects
– Mockup interview
– Resume preparation & Interview questions