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Course : Data Science & Machine Learning

Data Science with Python
Full Course for Beginners

The Advanced Certification Programme in Computational Data Science enables working professionals to gain practical hands-on experience in solving real-life challenges. The programme will teach participants how to build powerful models to generate actionable insights, necessary for making data-driven decisions.

Course Duration : 3 Months

✓ Introduction to Python

✓ Variables & Data Types

✓ Data Structures

✓ Control Flow

✓ Working with Loops

✓ Functions in Python

✓ Numpy Modules

✓ Pandas Module

✓ Data Visualization

✓ Practical Project

 

Both Theoretical and Practical Exams will be held after 7-10 days of proper completion of the course and our Central Govt. Certificates and Mark-sheets with be provided to successful students.

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    • Module 1

      Introduction to Python , Syntax , Variables , Data Types , Numbers , Casting

    • Module 2

      Python String , Booleans , Operators , Loops in Python , Functions in Python

    • Module 3

      Python List , Tuples , Sets , Dictionaries , Lambda function , Arrays in Python , Python Class/Objects , Python Inheritance , File Handling with Python

    Data Science with R
    Full Course for Beginners

    The Advanced Certification Programme in Computational Data Science enables working professionals to gain practical hands-on experience in solving real-life challenges. The programme will teach participants how to build powerful models to generate actionable insights, necessary for making data-driven decisions.

    Duration : 3 Months

    ✓ Introduction to R Programming

    ✓ Data Objects in R

    ✓ Editing Data Objects

    ✓ Control Statements

    ✓ Functions in R

    ✓ Importing Data

    ✓ Statistical Concepts

    ✓ Predictive Modelling

    ✓ Data Visualization

    Both Theoretical and Practical Exams will be held after 7-10 days of proper completion of the course and our Central Govt. Certificates and Mark-sheets with be provided to successful students.
    • Module 1

      R introduction , Basic Syntax , Data Types , Data Structures , Variables , Keywords , Operators.

    • Module 2

      R If Statement , If-else Statement , Else-If Statement , Switch Statement , Next Statement , Break Statement , R-Loops , R Functions.

    • Module 3

      R Data Structures - Vectors , Lists , Arrays , Matrix , Data Frame , Factors

    Diploma in Data Science
    Advance Data Science with Python & R

      The Advanced Certification Programme in Computational Data Science enables working professionals to gain practical hands-on experience in solving real-life challenges. The programme will teach participants how to build powerful models to generate actionable insights, necessary for making data-driven decisions.

    Course Duration : 6 Months

    ✓ Variables & Data Types in Python

    ✓Data Structures

    ✓ Control Flow

    ✓ Working with Loops

    ✓ Functions in Python

    ✓Numpy Modules

    ✓ Pandas Module

    ✓ Data Visualization

    ✓ Data Objects in R

    ✓ Control Statements in R

    ✓ Functions in R

    ✓ Importing Data

    ✓ Statistical Concepts
    in R

    ✓ Predictive Modelling in R

    ✓ Data Visualization in R

     

    Both Theoretical and Practical Exams will be held after 7-10 days of proper completion of the course and our Central Govt. Certificates and Mark-sheets with be provided to successful students.
    • Module 1- R Programming

      R introduction , Basic Syntax , Data Types , Data Structures , Variables , Keywords , Operators.

    • Module 2

      R If Statement , If-else Statement , Else-If Statement , Switch Statement , Next Statement , Break Statement , R-Loops , R Functions.

    • Module 3

      R Data Structures - Vectors , Lists , Arrays , Matrix , Data Frame , Factors , Strings

    • Module 4

      R packages , Data Reshaping , Object-Oriented programming

    • Module 5

      Data Interfaces- R CSV File , R Excel File , R Database , Data Manipulation

    • Module 6

      Data Visualization - Pie Charts , Bar Charts , Boxplot , Histogram , Line Graphs , Scatterplots

    • Module 7

      Linear Regression , Multiple Regression , Logistic Regression , Poisson Regression

    • Module 8

      Normal Distribution , Binomial Distribution , Time Series Analysis , Random Forest , T-Test in R , Chi-Square Test

    • Module 9- Python

      Working with Data Types - List , Tuple , Set , Dictionaries , String , Python Functions , Python Modules & Packages.

    • Module 10

      Functional Programming , Object Oriented Programming , Database Handling with Python , Working with Files in Python

    • Module 11

      Use of Numpy , Use of Pandas for Data Analysis , Matplotlib Python Intro , Matplotlib Pyplot , Matplotlib Plotting , Matplotlib Markers , Matplotlib Line , Matplotlib Labels , Matplotlib Grid , Matplotlib Subplots , Matplotlib Scatter , Matplotlib Bars , Matplotlib Histograms , Matplotlib Pie Charts , Dynamic Visualizations, Scipy.

    Diploma in Machine Learning & Data Science
    Advance Data Science & ML with Python

    The Advanced Certification Programme in Computational Data Science enables working professionals to gain practical hands-on experience in solving real-life challenges. The programme will teach participants how to build powerful models to generate actionable insights, necessary for making data-driven decisions.

    Duration : 6 Months

    ✓ Introduction to Machine Learning & Data Science

    ✓ Variables & data types

    ✓ Data Structure

    ✓ Control Flow

    ✓ Loops

    ✓ Functions in Python

    ✓ Numpy Modules

    ✓ Pandas Module

    ✓ Data Visualization

     ✓ Matplotlib

    ✓ Linear Regression

    ✓ Logistic Regression

    ✓ Decision Tree

    Both Theoretical and Practical Exams will be held after 7-10 days of proper completion of the course and our Central Govt. Certificates and Mark-sheets with be provided to successful students.
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