Curriculum

  Link, Passcode & Updates Section
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  High level overview of data science, business intelligence, analytics and data engineering with real world examples
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  Statistics overview and descriptive statistics.
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  Moments of Statistics, measures of spread, shape and errors of data.
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  1. Function & it's type 2. Lambda Function 3. Module-Math ,Random 4. Exceptional Error handling
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  1.Pandas Library --Series, Dataframe, Basics of Statistics
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  Basics of Programming and python
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  Python data structures, functions
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  Basic concepts of pandas and numpy along with their functions
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  Basics of Excel, Excel functions and Pivot Table
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  Advanced excel and statistics using excel
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  Databases, SQL, SQL syntax and logic building
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  Hands on practice of SQL and introduction to data visualization
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  Data Visualization and Power BI - Introduction to data visualization and Power BI feature
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  Report Visualization and properties - Hands on practice Report Visualization
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  Hierarchies and drill down reports - Hierarchies and Drill down reports in Power BI
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  DAX expressions - DAX expressions in power bi
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  PowerBI deployment and cloud usage
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  Data Wrangling, data cleaning and EDA
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  Statistical analysis using visualization in Python
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  Supervised Machine Learning and Linear Regression
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  Theoretical Explanation of Linear regression
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  Explanation of Logistic Regression
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  KNN, Decision Trees
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  Decision Trees, Random Forest and KNN
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  Practical: Decision Trees, Random Forest and KNN
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  K Means Algorithm, Hierarchal Clustering
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  Practical and theory: NLP
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  Basics of Deep Learning, Intro to AI and Cloud Computing
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  Artificial Neural Network
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  ANN, Optimizers and Cost functions
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  Practice module for Deep Learning with Keras
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  Mask Detection project
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  Object detection using Yolo, OpenCV
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  Multiple object Detection using Yolo, OpenCV, Intro to Google Colab
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  Introduction to cloud computing
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  Comparing various cloud providers
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  NN Architecture of CNN, RNN and LSTM
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  Model deployment techniques and about MLOps
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  Overview and hands on Git and Github
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  SDLC, Different SDLC models
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  Career Building Session
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  Resumes building and Sample Interview Questions
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