Learning Path

  • Course 1

    Masters in Data Science Engineering

    • Upcoming Batches
    • Curriculum
      Sl. No. Chapter
      Chapter - 1 Introduction to Data Science
      Chapter - 2 Introduction to programming in Python
      Chapter - 3 Introduction to SQL programming
      Chapter - 4 Working On MY SQL
      Chapter - 5 Exploratory Data Analysis,Data Cleaning,Data Manipulation
      Chapter - 6 Statistical Methods Of Decision Making
      Chapter - 7 Machine Learning-Supervised Learning:Regression
      Chapter - 8 Machine Learning:Supervised Learning:classification
      Chapter - 9 Unsupervised Learning:Clustering
      Chapter - 10 Unsupervised Learning:PCA
      Chapter - 11 Ensemble Techniques:Bagging,Boosting
      Chapter - 12 Data Visualization
      Chapter - 13 Data Science Applications
      Chapter - 14 Time series Forcasting
      Chapter - 15 Text Mining and Sentimental Analysis
      Chapter - 16 Capstone project

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  • Course 2

    Masters in Data Science and Analytics

    • Upcoming Batches
    • Curriculum
      Sl. No. Chapter
      Chapter - 1 Introduction to Analytics:-
      Chapter - 2 Statistical Method for Decision Making:-
      Chapter - 3 Business Finance:-
      Chapter - 4 Marketing and CRM:-
      Chapter - 5 Analytics techniques
      Chapter - 6 Data Mining:-
      Chapter - 7 Predictive Modeling:-
      Chapter - 8 Time Series Forecasting:-
      Chapter - 9 Machine Learning:-
      Chapter - 10 Optimization Techniques:-
      Chapter - 11 Domain Specialization
      Chapter - 12 Visualization and insights
      Chapter - 13 Capstone project

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  • Course 3

    DSF (Data Science Fundamental)

    • Upcoming Batches
    • Curriculum
      Sl. No. Chapter
      Chapter - 1 What is Data Science?
      Chapter - 2 Introduction to Programming in Python
      Chapter - 3 Python for Data Science (Data Cleansing, Manipulation, and EDA)
      Chapter - 4 Probability and Statistics In Data Science
      Chapter - 5 Introduction To SQL Programming
      Chapter - 6 Statistical Methods for Decision Making
      Chapter - 7 Database Management Systems
      Chapter - 8 Introduction To Machine Learning
      Chapter - 9 Time Series Forecasting-Basic Knowledge
      Chapter - 10

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  • Course 4

    DSEP (Data Science Engineering Professionals)

    • Upcoming Batches
    • Curriculum
      Sl. No. Chapter
      Chapter - 1 Introduction to programming in Python
      Chapter - 2 Introduction to SQL programming
      Chapter - 3 Exploratory Data Analysis,Data Cleaning,Data Manipulation
      Chapter - 4 Statistical Methods Of Decision Making
      Chapter - 5 Machine Learning-Supervised Learning:Regression
      Chapter - 6 Machine Learning:Supervised Learning:classification
      Chapter - 7 Unsupervised Learning:Clustering
      Chapter - 8 Unsupervised Learning:PCA
      Chapter - 9 Ensmble Techniques:Bagging,Boosting
      Chapter - 10 Data Visulization
      Chapter - 11 Data Science Applications

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  • Course 5

    DSAP (Data Science Analytics Professionals)

    • Upcoming Batches
    • Curriculum
      Sl. No. Chapter
      Chapter - 1 Introduction to Data Science
      Chapter - 2 Introduction to Business Analytics
      Chapter - 3 Introduction to Python
      Chapter - 4 Working On MySql
      Chapter - 5 Exploratory Data Analysis,Data Cleaning,Data Manipulation
      Chapter - 6 Statistical Method for Decision Making:-
      Chapter - 7 Machine Learning-Supervised Learning,Unsupevised Learning
      Chapter - 8 Ensemble Technique:Bagging,Boosting
      Chapter - 9 Text mining and sentimental Analysis
      Chapter - 10 Time Series Forecasting
      Chapter - 11 Predictive Modeling
      Chapter - 12 Optimization Techniques:-
      Chapter - 13 Marketing and Retail Analytics
      Chapter - 14 Web & Social Media Analytics
      Chapter - 15 Finance & Risk Analytics

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