Python for Data Science
Training in Kolkata

1) Get hands-on Python skills and accelerate your data
science career.
2) Learn Python, analyze and visualize data with Pandas
  Matplotlib and Scikit.
3) Create robust predictive models with advanced statistics.
4) Leverage hypothesis testing and inferential statistics for
sound decision-making
Training Partners

Grow Your Data Science Skills

This comprehensive hands-on course takes you from the fundamentals of Data Science to an advanced level in weeks. Get hands-on programming experience in Python that you’ll be able to immediately apply in the real world. Equip yourself with the skills you need to work with large data sets, build predictive models and tell a compelling story to stakeholders.
You’ll learn the end-to-end data science process, covering everything you need to know to derive value from complex data. By the end of the course, you will be able to communicate data insights effectively through data visualizations. For your capstone, you’ll put machine-learning models into production to address a real-world data challenge.

Data Science Training in Kolkata

C-Cube offers Data Science course in Kolkata, the most comprehensive Data Science course in the market, covering the complete Data Science lifecycle concepts from Data Collection, Data Extraction, Data Cleansing, Data Exploration, Data Transformation, Feature Engineering, Data Integration, Data Mining, building Prediction models, Data Visualization and deploying the solution to the customer. Skills and tools ranging from Statistical Analysis, Text Mining, Regression Modelling, Hypothesis Testing, Predictive Analytics, Machine Learning, Deep Learning, Neural Networks, Natural Language Processing, Predictive Modelling, R Studio, Tableau, Spark, Hadoop, programming languages like R programming, Python are covered extensively as part of this Data Science training

Course Curriculum

Python For Data Science For Beginners

  • 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

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    Minimum Eligibility         10 + 2 Pass
    Course Duration               3 Months
    Mode of Training             Online & Offline

    Python For Data Science For Advanced Level

    • Module 1

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

    • Module 2

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

    • Module 3

      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.

    Learn A To Z of From C-Cube

    Minimum Eligibility         10 + 2 Pass
    Course Duration               3 Months
    Mode of Training             Online & Offline

    Data Science & Machine Learning with Python

    • Module 1 - Data Science using Python

      Introduction to Data Science , Basic Python Syntax , Variable Types , Basic Operators , Decision Making , Loops , Numbers , String , Lists , Tuples , Dictionary , Functions , Modules & Packages , Files

    • Module 2 - Machine Learning with Python

      ML Applications , How to Get Datasets , Supervised Learning - Regression Analysis , Linear Regression , Simple Linear Regression , Multiple Linear Regression , Polynomial Regression

    • Module 3- Advance Machine Learning

      Logistic Regression , Clustering in Machine Learning , K-Means Clustering Algorithm , P-Value , Examples of Machine Learning , Essential Mathematics for Machine Learning

    Machine Learning Skills Full Course

    Minimum Eligibility         10 + 2 Pass
    Course Duration               6 Months
    Mode of Training             Online & Offline

    What is Data Science ? Who is Data Scientist ?

    Data Science is all about mining hidden insights of data pertaining to trends, behaviour, interpretation and inferences to enable informed decisions to support the business. The professionals who perform these activities are said to be a Data Scientist / Science professional. Data Science is the most high-in-demand profession and as per Harvard and the most sort after profession in the world.

    Why one should take Data Science course ?

    Is Data Science certification being worth pursuing as a career?
    The answer is a big YES for myriad reasons. Digitalization across the domains is creating tons of data and the demand for the Data Science professionals who can evaluate and extract meaningful insights is increasing and creating millions of jobs in the space of Data Science. There is a huge void between the demand and supply and thereby creating ample job opportunities and salaries. Data Scientists are considered to be the highest in the job market. Data Scientist career path is long-lasting and rewarding as the data generation is increasing by leaps and bounds and the need for the Data Science professionals will increase perpetually.

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