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Python Bootcamp for Data Science & Machine Learning

Elevate your Python programming skills in data analysis with Pandas, and delve into real-life projects for practical exposure in the field of data science.

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Last updated 4/2024
English

Overview

I am delighted to extend a warm welcome to all aspiring learners who have embarked on this exciting journey. This comprehensive Python Bootcamp has been meticulously designed to take you from a beginner to an advanced level in Python programming, ensuring that you acquire the necessary skills to excel in the field of data science and machine learning.

At this bootcamp, I am truly passionate about programming and recognize Python as one of the most popular languages in today's technical landscape. Python offers a wide range of features, including both object oriented programming and structural programming, making it an ideal choice for data analysis and machine learning tasks.

Course Overview

The main focus of this Python Bootcamp is data analysis with Pandas, a powerful Python library that provides extensive tools for data manipulation and analysis. Our goal is to elevate your skills to a higher level using the Python data analysis toolkit, "Pandas." While the tutorial is tailored for beginners and intermediates, we also delve into advanced topics, ensuring that learners of all levels can benefit from this course.

What to Expect

Throughout this tutorial, I will cover all the fundamental aspects of 'Pandas' to equip you with the knowledge required to pursue a successful career as a data analyst or data scientist. My hands-on approach ensures an enjoyable learning experience, as I believe that practical application is key to mastering any skill. Therefore, I have integrated exercises and real-life projects into the curriculum, providing you with practical exposure to large-scale, research-oriented industry projects.

Conclusion

In conclusion, I firmly believe that this platform provides a wonderful opportunity to share and enhance technical knowledge with like-minded individuals who are passionate about learning and excelling in the field of data science. I am thrilled to embark on this learning journey with you and look forward to witnessing your growth and success.

So, let's dive in and explore the vast potential of Python for data science and machine learning together!

Who this course is for

  1. Beginner Python developers - Curious to learn about Data Science Or Data Analysis
  2. Data Analysis Beginners
  3. Aspiring data scientists who want to add Python to their tool arsenal
  4. Students and Other Professionals
  5. AI and ML aspirants to upgrade their knowledge in Data Pre-processing before applying the machine learning algorithms to their projects
  6. Data Analyst job seekers who wants to update their Resume with Python's data analysis toolkit

Testimonials

  1. I have recently completed a course on python for data analysis with pandas. I am a mechanical engineer but wanted to do career in data science. And this course was simply great. Thank you for an awesome course from basic to advanced ~ Sagar K
  2. Thank you so much for this course by Mentor Mr.Prithiviraja L . Kudos to you. I was learning pandas for past 6 months, but I couldn't able to remember syntax for some basics. But, I continously watched your videos for past 10 days and completed the course. Within 10 days, I am ready to do data analysis with pandas. Thank You Sir for your great effort. I'll surely recommend your course to someone who wants to learn data analysis with pandas ~ Kamalakannan
  3. Extremely Very beneficial course for freshers and beginners in Data Science and Machine Learning ~ A Mahato
  4. This Course was very good. It is very useful for those who are entering for the training on Data Science Courses ~ Rodda A

What you'll learn

You will become a specialist in the following things while learning via this course:

“Data Analysis With Pandas”

  1. You will be able to analyze a large file
  2. Build a Solid Foundation in Data Analysis with Python

After completing the course you will have professional experience on:

  1. Pandas Data Structures: Series, DataFrame and Index Objects
  2. Essential Functionalities
  3. Data Handling
  4. Data Pre-processing
  5. Data Wrangling
  6. Data Grouping
  7. Data Aggregation
  8. Pivoting
  9. Working With Hierarchical Indexing
  10. Converting Data Types
  11. Time Series Analysis
  12. Advanced Pandas Features and much more with hands-on exercises and practice works

Requirements

  1. Students must be willing to learn the Data Analysis with Python language
  2. If you know basics of Python that is well and good
  3. Basic Or intermediate experience with Microsoft Excel or another spreadsheet software, but not necessary
  4. Basic knowledge of data types (strings, integers, floating points, Booleans) etc, but not necessary
  5. Basic Programming knowledge Or knowing any other programming languages will also helps
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Course Content

11 Sections 102 Lectures 15h 41m total length

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