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Best Data Science Courses in Bangalore – Unlocking the Power of Data and Artificial Intelligence!

Enroll in Data Science Courses in Bangalore. Courses for data scientists and professionals wanting to advance their skills. Get the option of EMI and receive support for placements!
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Course Duration: 110h
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About Course

This comprehensive 110-hour Data Science Course covers foundational and advanced concepts, ensuring participants have a solid understanding of data science principles and the skills required to apply them in real-world scenarios.. Our Data Science Courses go beyond traditional training, providing participants with practical skills and real-world insights into the dynamic field of data science. Graduates emerge with a deep understanding of data science principles, machine learning techniques, and the ability to apply their knowledge to solve complex business challenges. Benefit from the best data science courses in Bangalore with flexible EMI options, comprehensive syllabus, and a placement support program. Earn a certification upon completion and propel your career in the exciting field of data science and artificial intelligence!

What you’ll learn

     Mastering Data Science Fundamentals.

     Understanding the basics of statistics and probability.

     Exploring data visualization techniques using tools like Matplotlib and Seaborn

     Data Analysis and Exploration.

     Utilizing Pandas and NumPy for data manipulation and analysis.

     Applying exploratory data analysis (EDA) techniques to uncover patterns and

     insights.

     Machine Learning Foundations.

     Introduction to machine learning algorithms and models.

     Hands-on experience with scikit-learn for machine learning tasks.

     Advanced Machine Learning and AI.

     Delving into advanced machine learning concepts.

     Understanding artificial intelligence and its applications in data science.

     Practical Data Science Projects.

     Applying learned concepts to real-world data science projects.

     Collaborating with peers and mentors to solve complex problems.

     Project and internship support.

Requirements

  • Basic Programming Knowledge: Understanding of programming concepts is recommended.
  • Mathematical Foundations: Familiarity with basic mathematics and statistics concepts.

Course Content

Introduction to Data Science (5 hours)

  • Definition and scope of data science
  • Applications and impact of data science in various industries Session

Basics of Statistics and Probability (10 hours)

Data Visualization Techniques (15 hours)

Data Manipulation with Pandas (10 hours)

Exploratory Data Analysis (EDA) (15 hours)

Introduction to Machine Learning (10 hours)

Hands-on with scikit-learn (15 hours)

Advanced Machine Learning Concepts (10 hours)

Introduction to Artificial Intelligence (10 hours)

Project Planning and Execution (5 hours)

Collaborative Project Work (5 hours)

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Student Ratings & Reviews

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Course level:All Levels
Course Duration: 110h
Enrolled:0
Last Updated:March 8, 2024

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