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2024 Master class on Data Science using Python A-Z for ML – (Free Course)

Data science, Python, NumPy, Pandas, Matplotlib, Seaborn, data analysis, data visualization, machine learning, deep learning, Udemy course, free course, coupon code, certification, online learning.

Table of Contents

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What you’ll learn

  • Students will learn how to create and manipulate arrays, perform mathematical operations on arrays, and use functions such as sorting, searching, and statistics
  • Students will learn how to create and manipulate Series and Data Frames.
  • Students will learn how to create plots and charts, customize the appearance of visualizations, and add annotations and labels.
  • NumPy, Pandas, and Matplotlib will typically teach students how to use these tools to analyze and visualize data.

 

This course includes:

  • 6.5 hours on-demand video
  • Assignments
  • 1 downloadable resource
  • Access on mobile and TV
  • Full lifetime access
  • Certificate of completion

Description

Welcome to 2024 Master class on Data Science using Python.

NumPy is a leading scientific computing library in Python while Pandas is for data manipulation and analysis. Also, learn to use Matplotlib for data visualization. Whether you are trying to go into Data Science, dive into machine learning, or deep learning, NumPy and Pandas are the top Modules in Python you should understand to make the journey smooth for you. In this course, we are going to start from the basics of Python NumPy and Pandas to the advanced NumPy and Pandas. This course will give you a solid understanding of NumPy, Pandas, and their functions.

At the end of the course, you should be able to write complex arrays for real-life projects, manipulate and analyze real-world data using Pandas.

WHO IS THIS COURSE FOR?

√ This course is for you if you want to master the in-and-out of NumPy, Pandas, and data visualization.

√ This course is for you if you want to build real-world applications using NumPy or Panda and visualize them with Matplotlib and Seaborn.

√ This course is for you if you want to learn NumPy, Pandas, Matplotlib and Seaborn for the first time or get a deeper knowledge of NumPy and Pandas to increase your productivity with deep and Machine learning.

√ This course is for you if you are coming from other programming languages and want to learn Python NumPy and Pandas fast and know it really well.

√ This course is for you if you are tired of NumPy, Pandas, Matplotlib and Seaborn courses that are too brief, too simple, or too complicated.

√ This course is for you if you have to get the prerequisite knowledge to understanding Data Science and Machine Learning using NumPy and Pandas.

√ This course is for you if you want to learn NumPy and Pandas by doing exciting real-life challenges that will distinguish you from the crowd.

√ This course is for you if plan to pass an interview soon.

 

Who this course is for:

  • Students who want to learn data science using Python.
  • Anyone with an interest in data science and machine learning

 

How to Get this course FREE?

Get a 100% Discount On Udemy Paid Courses by clicking on the Apply Here Button. This Course coupon code is automatically added to the Apply Here Button.

Apply this Coupon:7C8DA8826C3B014A9731  is applied  (For 100% Discount)

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Note: The udemy Courses Will be free for a Maximum of 1000 Learners can use the promo code AND Get this course 100% Free. After that, you will get this course at a discounted price.

Meta Keywords: Data science, Python, NumPy, Pandas, Matplotlib, Seaborn, data analysis, data visualization, machine learning, deep learning, Udemy course, free course, coupon code, certification, online learning.

FAQ – Master Class on Data Science using Python 

What will I learn from this course?

You will learn how to create and manipulate arrays, perform mathematical operations, use functions such as sorting and searching, manipulate Series and Data Frames, create plots and charts, customize visualizations, and analyze real-world data using NumPy, Pandas, Matplotlib, and Seaborn.

What does the course include?

The course includes 6.5 hours of on-demand video content, assignments, 1 downloadable resource, access on mobile and TV, full lifetime access, and a certificate of completion upon finishing the course.

Who is this course for?

This course is suitable for students who want to master NumPy, Pandas, and data visualization using Python. It’s also beneficial for those interested in data science and machine learning, whether they are beginners or seeking to deepen their knowledge.

What prerequisites are required to take this course?

There are no strict prerequisites, but basic knowledge of Python programming would be beneficial. However, the course covers NumPy, Pandas, and data visualization from basics to advanced topics, making it accessible to learners of all levels.

How will this course benefit me in my career or studies?

By completing this course, you will gain a solid understanding of NumPy, Pandas, and data visualization techniques, which are essential skills for data science, machine learning, and other analytical roles. You’ll be equipped to work on real-world projects and excel in interviews.

Is there support available if I encounter any difficulties during the course?

Yes, the instructor is available to provide support and assistance throughout the course. You can ask questions, seek clarification, and engage with the instructor and other students to enhance your learning experience.

Can I enroll in the course for free?

Yes, you can enroll in the course for free by clicking on the provided link and applying the coupon code “7C8DA8826C3B014A9731”. Please note that the course will be free for a limited number of learners using the promo code.

Are there practical exercises or challenges included in the course?

Yes, the course includes assignments and real-life challenges to help reinforce your learning and practical skills in NumPy, Pandas, and data visualization.

How can I access the course materials?.

You can access the course materials, including video lectures, assignments, and downloadable resources, on both mobile and TV platforms, ensuring flexibility in your learning experience.

What distinguishes this course from others on the same topic?

This course stands out for its comprehensive coverage of NumPy, Pandas, and data visualization, from basics to advanced concepts. It offers practical, real-life challenges and provides deep insights into these essential tools for data science and machine learning

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