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Data Science with Python and R Course in Bangalore – Unleash the Power of Analytics

Join the Data Science with Python and R Course in Bangalore. For aspiring data scientists. Get EMI Options and Placement support!
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Course Duration: 110h
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About Course

This 110-hour course teaches data science using Python and R. Participants will learn data science concepts and gain practical experience in both programming languages. This Data Science with Python and R Course transcends theoretical knowledge, offering hands-on experience through practical exercises and real-world projects. Graduates emerge with a versatile skill set, ready to tackle complex data challenges in various industries.

Take advantage of our flexible EMI options, a detailed data science course syllabus, and receive certification after finishing the course. Start your career on the right path with the top-notch Data Science with Python and R Course.

We offer a data science course in Bangalore for both beginners and experienced professionals. Our course is designed to meet your needs and enhance your data science skills to the next level. Our team of industry experts will provide you with high-quality training and guidance throughout the course.

The hourly breakdown is indicative and may vary based on the pace of the class and additional interactive activities.

Practical exercises, case studies, and real-world applications should be incorporated throughout the sessions to reinforce learning.

What you’ll learn

     Master Python for Data Science.

     Python programming fundamentals.

     Data manipulation and analysis with Pandas.

     Visualization using Matplotlib and Seaborn.

     Data Science Foundations.

     Statistical concepts and hypothesis testing.

     Exploratory Data Analysis (EDA).

     Feature engineering and selection.

     Machine Learning with Python.

     Introduction to machine learning algorithms.

     Model evaluation and hyperparameter tuning.

     Practical implementation of ML models.

     R for Data Science.

     R programming basics.

     Data visualization with ggplot2.

     Statistical modeling using R.

     Capstone Project.

     Apply learned skills to a real-world project.

     Design and implement an end-to-end data science solution.

     Project presentation and feedback.

Requirements

  • Basic Programming Knowledge: Familiarity with programming concepts is recommended but not mandatory.
  • Mathematics and Statistics Fundamentals: Understanding of basic mathematical and statistical concepts.

Course Content

Master Python for Data Science (40 hours)

  • Introduction to Python and Jupyter Notebooks
  • Data types, variables, and operators
  • Control flow: if statements, loops, and functions
  • Data manipulation with Pandas
  • Data visualization with Matplotlib and Seaborn

Data Science Foundations (30 hours)

Machine Learning with Python (20 hours)

R for Data Science (20 hours)

Capstone Project (20 hours)

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Course level:All Levels
Course Duration: 110h
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Last Updated:March 9, 2024

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