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C-Cube
Centre of Computer Education

Course : Data Science & Machine Learning
Data Science with Python
Full Course for Beginners
- Overview
- Course Curriculum
- Exam & Certification
- FAQ
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
Quick Contact Form
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Module 1
Introduction to Python , Syntax , Variables , Data Types , Numbers , Casting
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Module 2
Python String , Booleans , Operators , Loops in Python , Functions in Python
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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
- Overview
- Course Curriculum
- Exam & Certification
- FAQ
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
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Module 1
R introduction , Basic Syntax , Data Types , Data Structures , Variables , Keywords , Operators.
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Module 2
R If Statement , If-else Statement , Else-If Statement , Switch Statement , Next Statement , Break Statement , R-Loops , R Functions.
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Module 3
R Data Structures - Vectors , Lists , Arrays , Matrix , Data Frame , Factors
Diploma in Data Science
Advance Data Science with Python & R
- Overview
- Course Curriculum
- Exam & Certification
- FAQ
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
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Module 1- R Programming
R introduction , Basic Syntax , Data Types , Data Structures , Variables , Keywords , Operators.
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Module 2
R If Statement , If-else Statement , Else-If Statement , Switch Statement , Next Statement , Break Statement , R-Loops , R Functions.
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Module 3
R Data Structures - Vectors , Lists , Arrays , Matrix , Data Frame , Factors , Strings
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Module 4
R packages , Data Reshaping , Object-Oriented programming
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Module 5
Data Interfaces- R CSV File , R Excel File , R Database , Data Manipulation
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Module 6
Data Visualization - Pie Charts , Bar Charts , Boxplot , Histogram , Line Graphs , Scatterplots
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Module 7
Linear Regression , Multiple Regression , Logistic Regression , Poisson Regression
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Module 8
Normal Distribution , Binomial Distribution , Time Series Analysis , Random Forest , T-Test in R , Chi-Square Test
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Module 9- Python
Working with Data Types - List , Tuple , Set , Dictionaries , String , Python Functions , Python Modules & Packages.
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Module 10
Functional Programming , Object Oriented Programming , Database Handling with Python , Working with Files in Python
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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
- Overview
- Course Curriculum
- Exam & Certification
- FAQ
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