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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

Python for Data Science

star 4.57  Beginner level 2.25 learning hrs 10.3K+ Learners
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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.

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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

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Python for Data Science

rating icon 4.57

2.25 Hours

Beginner

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10.3K+ learners enrolled so far

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Learner reviews of the Free Courses

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Reviewer Profile
Chathushka Pathum

5.0

★★★★ ★
“Easy to Understand Course Modules”
The course’s modular design is clear and accessible, making it easy to stay on track and build knowledge progressively. The inclusion of multimedia resources and practical tasks adds variety to the learning process, which keeps it interesting and interactive. By reinforcing each concept before introducing new material, the modules create a smooth learning journey that enhances comprehension and retention.
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Reviewer Profile
Gita Karisma

5.0

★★★★ ★
Indonesia
“In my Data Science course at Great Learning, I learned machine learning, data analysis, and worked on real-world projects with guidance from industry experts.”
In my Data Science course at Great Learning, I learned machine learning, data analysis, and worked on real-world projects with guidance from industry experts.
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Reviewer Profile
David Fernando Evangelista Cuti

5.0

★★★★ ★
Peru
“Este curso en línea desarrolla habilidades en análisis de datos, programación en Python, y visualización de información. Los participantes aprenderán técnicas de ML.”
Este curso en línea proporciona habilidades esenciales en análisis de datos, programación en Python y visualización avanzada. Los estudiantes aprenderán a utilizar bibliotecas como pandas y matplotlib, implementar técnicas de machine learning, gestionar grandes volúmenes de datos y aplicar metodologías de limpieza de datos. Además, adquirirán conocimientos en análisis exploratorio y desarrollo de modelos predictivos para resolver problemas reales.
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Reviewer Profile
James Relebohile Motaung

5.0

★★★★ ★
South Africa
“I Really Enjoyed This Curriculum, Please Keep It Up”
I like how easy you made the course while going in-depth with all the tools involved when using Python for data science. Thank you so much.
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Reviewer Profile
William Hammond

5.0

★★★★ ★
“Online Course Completion on Python for Data Science”
I am thrilled to have completed the Python for Data Science course at Great Learning. The comprehensive curriculum, expert instructors, and supportive environment enabled me to gain a deep understanding of Python programming and its applications in data science.
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Reviewer Profile
Albert Yeo Boon Leong

5.0

★★★★ ★
Singapore
“The Lessons Are Instructive and Easy to Follow”
Even without prior knowledge and experience in this area, I can still follow the lessons.
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Reviewer Profile
Paul Shopi

5.0

★★★★ ★
“Important Coding to Handle/Process/Present Data Easily Using NumPy and Python Codes”
I like the way NumPy handles computations; however, I would like to see more examples of Series data and how it is used in Data Science to solve problems.
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Reviewer Profile
Παναγιώτης-Νικήτας Μπουγάι

5.0

★★★★ ★
“Learning Useful Commands of Python for Data Science”
In this course, I liked the commands I learned because they are going to help me a lot in plotting and managing data.
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Reviewer Profile
Malek Beji

5.0

★★★★ ★
“Great Courses, Thank You! That’s Perfect.”
I really enjoyed the course content; it was clear, engaging, and exactly what I needed to improve my skills.
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Reviewer Profile
Kaase Mfena Michael

4.0

★★★ ★ ☆
Nigeria
“Great Learning Experience Indeed!”
The course was easy to follow, with great video content and curriculum.
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What our learners enjoyed the most

Our course instructor

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Mr. Anirudh Rao

Data Science Expert

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788.2K+ 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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