Python for Data Science Free Course

Python for Data Science

star 4.57  Beginner level 2.25 learning hrs 10.1K+ 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. 

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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

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10.1K+ learners enrolled so far

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Hands-On Data Science Using Python
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Learner reviews of the Free Courses

4.57
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Reviewer Profile
M.Muneeb Siddiqui

5.0

“Learning Data Science with Pandas, NumPy, and TensorFlow for Machine Learning Applications”
This course offers a comprehensive introduction to Python for data science. Learn key concepts like working with Pandas, NumPy, and Matplotlib for data manipulation and visualization. Additionally, dive into TensorFlow and Keras for building machine learning models.
Reviewer Profile

5.0

“Comprehensive Python Learning with Hands-On Projects”
I had a great experience learning Python with Great Learning. The course covered essential libraries like NumPy, Pandas, and Matplotlib, which made data manipulation and visualization easier to understand. Practical exercises, including bar plots and histograms, helped solidify my knowledge. The instructor explained complex topics clearly, and the quizzes were helpful for retention. I feel more confident in my Python skills, especially for data analysis!
Reviewer Profile

5.0

“Key Insights from My Data Science Journey”
My learning experience in data science has been transformative. Understanding how to analyze and visualize data using Python and its libraries has been incredibly rewarding. From mastering Pandas and NumPy to creating interactive plots with Matplotlib, every step deepened my knowledge and passion for the field.
Reviewer Profile

5.0

Country Flag Philippines
“Python for Data Science and Data Analysis”
I really enjoyed how the course explained complex topics in a simple and clear way. The hands-on coding exercises were particularly useful, allowing me to apply what I learned immediately. The experience not only improved my programming skills but also helped me gain confidence in solving real-world problems.
Reviewer Profile
ammar siddiqui

5.0

“The Aspect I Enjoyed Most About the Course Was the Hands-On Projects”
I particularly appreciated how the course integrated real-world data sets, allowing me to tackle genuine analytical problems. This practical application not only solidified my knowledge but also boosted my confidence in using these tools for data analysis. Additionally, the instructor’s clear explanations and willingness to engage with students made the learning experience enjoyable and interactive. The combination of theoretical knowledge and practical skills was truly invaluable.
Reviewer Profile

5.0

Country Flag United States
“Well-Constructed and Concise Curriculum”
This was a well-constructed and concise introduction to Data Science that gave me even more yearning to learn.
Reviewer Profile

5.0

“I Am Truly Grateful for the Opportunity to Take This Course”
I am really happy to be part of this course as it has provided me with valuable knowledge and new skills. Throughout the lessons, I have learned a lot of important concepts that have broadened my understanding and improved my abilities. This course has been a rewarding experience, and I look forward to applying what I've learned in real-world situations.
Reviewer Profile

5.0

Country Flag United Kingdom
“Really Good Introduction to Python for Data Science”
Simple, easy to follow along with, and gave me everything I needed to start working with data in Python.
Reviewer Profile

5.0

“Helpful in Learning Data Science with Python”
Excellent learning schemes for understanding Python for data science.
Reviewer Profile

5.0

“The Curriculum Is Well Designed and the Topic Was Easy to Follow with a Great Instructor”
I had a great experience after the completion of this course. After the completion, I was able to visualize the data and manipulate it using Python.

What our learners enjoyed the most

Our course instructor

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Mr. Anirudh Rao

Data Science Expert

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779.1K+ 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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