Python for Data Science Free Course

Python for Data Science

star 4.57  Beginner level 2.25 learning hrs 10.3K+ Learners

Learn skills like NumPy, Pandas, and Matplotlib through Python for Data Science free course.

Instructor:

Mr. Anirudh Rao

Key Highlights

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About this course

Data science is a field that uses scientific methods,  algorithms, processes, and systems to extract knowledge and insights from data in various forms that include both structured and unstructured. Python is a versatile language that is widely used in many different fields, including data science. Python is known for its ease of use and readability, making it a great language for beginners to learn. Additionally, it has a large number of libraries and tools that are specifically designed for data science, which makes it an ideal choice for those looking to pursue a career in this field.

This free Python for Data Science course starts with introducing you to NumPy and Pandas. You will learn about Pandas series object and get introduced to Pandas Dataframe. Matplotlib plays an important role while playing with data. Thus, you will also get introduced to Matplotlib and the role it plays in manipulating and analyzing data. You will learn about Line Plot, Bar Plot, Scatter Plot, and Histogram in detail and how all these plots work while dealing with data. Lastly, you will go through the box plot and violin plot in detail. Enroll in this free Python for Data Science course and learn essential skills like NumPy, Pandas, and Matplotlib. Secure a certificate on completing the course successfully. 

Explore more on Data Science techniques in-depth by going through Great Learning’s Best Data Science Courses, enroll in the globally appreciated Degree and PG programs that suit your career goal, and attain a certificate of course completion that increases the value of your resume.

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Course outline

Introduction to Numpy

Introduction to Pandas

Pandas Series Object

We shall understand one-dimensional labeled arrays in this section. We will learn to import the Pandas library, create a series object using the inbuilt data type, and work with it with demonstrated code snippets.

Introduction to Pandas Dataframe

We will learn about the 2-dimensional labeled data structures in this section. We shall understand how to create and work with the dataframe using the dictionary with an example and demonstrated code snippets.

Introduction to Matplotlib

Line Plot

The objective of this module is to impart an understanding of line plots and the process of creating them.

Bar Plot

Scatter Plot

The aim of this module is to elaborate on scatter plots, including the procedure for creating them and the ways they are utilized to analyze the relationship between two numerical data points.

Histogram

Box Plot and Violin Plot

Get access to the complete curriculum once you enroll in the course

Python for Data Science

rating icon 4.57

2.25 Hours

Beginner

10.3K+ learners enrolled so far

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Learner reviews of the Free Courses

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Reviewer Profile

4.0

★★★ ★ ☆
Morocco
“Mastering Data Analysis with Python: NumPy, Pandas, and Matplotlib”
Dive into the world of data analysis with this comprehensive course. Learn how to harness the power of Python's most popular libraries: NumPy for numerical computations and array manipulations, Pandas for efficient data handling and analysis, Matplotlib for creating stunning visualizations.
Reviewer Profile

5.0

★★★★ ★
“Python for Data Science with NumPy, Pandas, Matplotlib”
Data analysis expert with Python, NumPy, Pandas, Matplotlib.
Reviewer Profile

5.0

★★★★ ★
Morocco
“Incredible Experience Learning on This Platform”
I've had an incredible experience learning on this platform! The courses are well-structured, the content is engaging, and the instructors are knowledgeable.
Reviewer Profile
Hani Basit

5.0

★★★★ ★
“Python for Data Science is Very Good”
Python for Data Science is very helpful in covering the basics of Python.
Reviewer Profile
Zia Ur Rehman

5.0

★★★★ ★
“Excellent and Clear Way of Teaching”
The instructor explained every topic in the smallest detail, and this helped in understanding the course clearly.
Reviewer Profile
Kanza Tehreem

5.0

★★★★ ★
“This Course Made Understanding Python Easy”
I liked how easy it was to follow and how it covered everything in such a reasonable time.
Reviewer Profile

5.0

★★★★ ★
Canada
“Great Examples and a Good Pace”
Great examples and a good pace. The material is easy to understand and can be completed quickly. I also like the idea of certification; it brings value and entitlement to what you've learned.
Reviewer Profile

5.0

★★★★ ★
“Enjoyed the Course, Thank You for Making It Available for Free”
The whole course was fun and easy to understand. Giving the student the ability to study at their own speed was a good choice.
Reviewer Profile

5.0

★★★★ ★
Morocco
“Great Experience, Thank You for This Course”
I would like to thank the instructor for the quality of the course. This course summarizes the important libraries in Python.
Reviewer Profile
Sardar Obaidullah

5.0

★★★★ ★
“Awesome Experience and I Would Love to Come Again to Learn More”
The way things were demystified was amazing. I have learned a lot regarding NumPy.

What our learners enjoyed the most

Our course instructor

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Mr. Anirudh Rao

Data Science Expert

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786.7K+ Learners
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79 Courses
Anirudh has been working in the field of Data Science and has expertise over Python, Machine Learning and other concepts in the field of data analysis. He is also proficient in the concept of Deep Learning and its usage in a production environment. Expertise extends towards working on various projects in the domain of Artificial Intelligence and Neural Networks as well.

Frequently Asked Questions

Will I receive a certificate upon completing this free course?

Yes, upon successful completion of the course and payment of the certificate fee, you will receive a completion certificate that you can add to your resume.

Is this course free?

Yes, you may enroll in the course and access the course content for free. However, if you wish to obtain a certificate upon completion, a non-refundable fee is applicable.

How do I start Python for data science?

You can start your learning journey of Python for Data Science by registering in the courses that suit your learning goals. The free Python for Data Science course by Great Learning is a comprehensive course that is designed from a beginners’ learning aspect. Enroll in this free course and gain the basic knowledge that can help you understand the advanced concepts better.

Can I learn Python in a month?

With the right motivation, sources, and proper amount of time spent on learning can help you comprehend Python in a month. Most learners believe that Python is easy to learn, its syntax is easy, and the code is very readable. You can also look into Great Learning’s Python courses that suit your learning levels.

Can Python developers become Data Scientists?

Yes, Python developers can become Data Scientists. Data Science is a moderately new field, and there is a lot of overlap between the skill sets of Python developers and Data Scientists. Many Python developers have the skills necessary to perform data analysis and build predictive models, and with the proper training, they can become expert Data Scientists.

Can I get a job with Python only?

Yes. Python language is not only one of the most popular programming languages but also one of the most primarily used languages for Data Science and automation. Many jobs require only Python programming skills. Hence, you can get good job opportunities with excellent Python programming skills.

How do I install Python for data science?

The best way to install Python for data science depends on your operating system, development environment, and project requirements. There are many sources available on the web where you can find installation steps explained.

Is Python enough to be a data analyst?

Python is an adaptable language that is gaining popularity in the data science community. While Python is not strictly necessary to be a data analyst, it can be helpful in streamlining data analysis tasks. In addition, Python has a variety of libraries and tools that can be used for data analysis. You must be aware of the Data Science techniques and how to implement them with the best approach using Python programming language.

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