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Python for Data Science Free Course

Name: Python for Data Science
Rating: 4.57 (648 reviews)

Python for Data Science

4.57 Beginner level 2.25 learning hrs 10K+ Learners

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

Instructor:

Mr. Anirudh Rao

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Skills you will gain

NumPy

Pandas

Matplotlib

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.

Stand out with an industry-recognized certificate

Start learning

10,000+ certificates claimed, get yours today!

Get noticed by top recruiters

Share on professional channels

Globally recognised

Land your dream job

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

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Python for Data Science

4.57

2.25 Hours

Beginner

10K+ learners enrolled so far

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Trusted by 10 Million+ Learners globally

4.6

4.89

4.94

4.7

Learner reviews of the Free Courses

4.57

★★★★

★ ☆

★

74%

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☆

18%

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Muhammad Adnan

5.0

★★★★ ★

Netherlands

“Learning Python for Data Science is an Enriching Experience on the Great Learning Platform”

Learning Python for Data Science is an enriching experience on the Great Learning platform. With comprehensive courses tailored to both beginners and professionals, the platform offers a hands-on approach to mastering Python. Through interactive lessons, real-world projects, and expert mentorship, learners gain essential skills in data manipulation, analysis, and visualization. The structured curriculum covers key topics like NumPy, pandas, machine learning, and more, empowering learners to solve complex data problems.

Elbert

5.0

★★★★ ★

Indonesia

“Python for Data Science Course with Certificate is Good for Building Resume and Knowledge”

It's free, easy to understand, and in-depth learning makes it the best you can get. After completing courses, you even get a certificate, and above all, it's completely free. It's a lifesaver for many people who don't have enough resources or funds to study and get a useful and helpful certificate. I just wish the quizzes were harder and more complex, like live coding, to maximize the learning output. Great job and keep up sharing knowledge with the world, helping others.

Rina Ralijaona

4.0

★★★ ★ ☆

“The Highlight of My Learning Experience in the Python for Data Science Course”

I found it particularly fascinating to explore the intricacies of libraries like pandas, NumPy, and Matplotlib, and how data preprocessing and visualization techniques can impact analysis. Another memorable moment was working on practical projects where I could implement Python-based solutions to solve concrete problems, which reinforced my theoretical understanding through practical application.

Dhanuvarsha Ramasamy

4.0

★★★ ★ ☆

United Kingdom

“Mastering Data Manipulation with Pandas and Visualizing Insights Using Matplotlib”

One of the most valuable aspects of my learning experience in Python for Data Science was gaining a strong understanding of data manipulation with libraries like pandas, which allowed me to clean, transform, and analyze large datasets efficiently. Additionally, learning how to visualize data using matplotlib and seaborn helped me uncover insights and present findings effectively, making complex data more understandable.

Amel Khan

5.0

★★★★ ★

“Python is a Versatile and Powerful Programming Language”

Through a free Python course, I gained essential programming skills that boosted my problem-solving abilities and opened up new career opportunities. The hands-on projects and practical examples helped me build confidence in my coding capabilities. Python is a versatile and powerful programming language known for its readability and ease of use. With its simple syntax, Python allows both beginners and experienced developers to write clear and concise code.

AWAL Prajwol

5.0

★★★★ ★

“Title of This Certificate was 'Python for Data Science'”

This might be one of the most important certification courses for those who have just entered the field of Data Science. The best instructor and topic depth were epic. Loved this course! Although I hope they share CSV files and give small projects at the end with that CSV file for recalling things. Thank Great Learning for sharing this certification with everyone.

Afsheen Akhtar

5.0

★★★★ ★

“It's a Good Experience for Enhancing Skill”

Proficient in Python programming, with a solid understanding of core concepts such as data structures, object-oriented programming, and exception handling. Experienced in using libraries like NumPy, Pandas, and Matplotlib for data analysis and visualization. Comfortable with writing clean, efficient code and solving complex problems. Skilled in automating tasks and developing scripts to streamline workflows.

Sagarika Suwal

5.0

★★★★ ★

“Gained Experience Learning Python for Data Science”

It's actually Great Learning. I gained valuable experience learning Python for Data Science, focusing on libraries such as Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization. I also explored machine learning techniques using Scikit-learn and TensorFlow, applying these skills to environmental data, enhancing my ability to solve complex, data-driven challenges in sustainability projects.

HUSSAYN SARDAR

5.0

★★★★ ★

“Working with Python for Data Science”

This experience fosters critical thinking, problem-solving skills, and the ability to communicate findings effectively through data-driven storytelling.

Ikram ES-SOUIRI

5.0

★★★★ ★

Morocco

“Comprehensive Python for Data Science: From Basics to Advanced”

This course provides an in-depth exploration of Python tailored for data science. Learn the essential Python libraries, data manipulation techniques, and practical skills needed to excel in data analysis, visualization, and machine learning.

What our learners enjoyed the most

Skill & tools

61%

61% of learners found all the desired skills & tools

Our course instructor

Mr. Anirudh Rao

Data Science Expert

778.3K+ Learners

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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