Top Python for Data Science Courses to Take Up in 2024
Python is the most popular programming language for Data Scientists and Machine Learning engineers given its ease of working flexibility and a wide range of Python libraries. It is an intuitive, understandable, and open-source programming language. Python can be easily adapted by both advanced programmers and non-programmers, making it stand out with respect to languages such as C, C ++, and Java. If you are wondering which is the best Python course in data science and why should you learn Python for data science, this article is for you!
Learn more about Python; read our blog – What is Python?
Why Should You Learn Python?
Python plays a huge role in simplifying every step of the data science process including data extraction, cleaning, evaluation, and visualization. Reasons, why Python has been adopted by data scientists for their data science projects, are –
- With the help of Python, you can write a query to fetch the data that you need to work on from the database
- Python allows quick improvements and can interface with high-performance algorithms
- Python libraries constitute huge programmed functions, tools, and algorithms that save a lot of programming time and have an easy to understand the structure
- Python libraries like Pandas and Matplotlib enable you to clean and sort the data into a data frame (table), thus helping in data analysis and visualization
- Python helps to build strong predictive models to forecast outcomes and contribute to business decision making
You May Like – Powerful Python Libraries for Data Science and Machine Learning
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Best-suited Python for data science courses for you
Learn Python for data science with these high-rated online courses
Top Python Courses for Data Scientists
Below are some of the best-rated Python data science courses from top online learning platforms.
Statistics for Data Science with Python by Coursera
The Statistics for Data Science course will help you learn the basic principles of statistical methods and procedures used for data analysis. The course will help you to have a thorough understanding of important topics of statistics such as – data gathering, summarizing data using descriptive statistics, displaying and visualizing data, examining relationships between variables, probability distributions, expected values, hypothesis testing, introduction to ANOVA (analysis of variance), regression and correlation analysis.
Must Read – Python List – An Introduction
The Statistics for Data Science course is part of the Data Science Fundamentals with Python and SQL Specialization. The course is suitable for professionals in data-driven profiles such as Data Scientists, Data Analysts, Business Analysts, Statisticians, and Researchers.
Course Duration – 6 Weeks
Course Rating – 4.6
Key Deliverables
- Earn a certificate from IBM
- Learn to summarize, present, and visualize data in a concise and presentable way
- Demonstrate proficiency in statistical analysis using Python and Jupyter Notebooks
- Gain the knowledge of Probability and Statistics, Regression Analysis, Data Visualization (DataViz), Statistical Hypothesis Testing, and Basic Descriptive Statistics
Course Review –
“A well-structured course, simple and direct to the point, with a little exercising you’ll come out with a huge understanding of the statistical concepts” – ED
Also explore – Statistical Methods Every Data Scientist Should Know
Python for Data Science by NPTEL
The course can be taken up by aspiring data scientists and final-year undergraduate students. The course aims to help the students use Python programming for solving data science problems.
Course Duration – 4 Weeks
Key Deliverables
- Offered by IIT Madras
- Earn university credits
- The final score comprises 25% of the average of best 3 assignments and 75% of the proctored certification exam score out of 100
Python for Genomic Data Science by Coursera
Python for Genomic Data Science is a specialized course from Johns Hopkins University and is a part of the Genomic Data Science Specialization. The course introduces the participants to the Python programming language and the iPython notebook. The course comprises a number of course videos, readings, and quizzes.
Course Duration – 5 Weeks
Course Rating – 4.6
Key Deliverables
- 31% started a new career after completing these courses
- 26% got a tangible career benefit from this course
- Learn about Bioinformatics, Biopython, Python Programming, and Genomics
Explore the concept of Data Science, read our post – what is Data Science?
Foundations of Data Science: K-Means Clustering in Python by Coursera
Foundations of Data Science: K-Means Clustering in Python is a MOOC, from Goldsmiths, University of London. The course covers the essentials of Data Science, basic mathematics, statistics, and programming skills that are necessary for typical data analysis tasks.
You would be required to work on different types of mathematical and programming exercises, along with a data-clustering project for a given dataset. To take up this course, you should have high-school-level mathematical and statistical knowledge.
Course Duration – 5 Weeks
Course Rating – 4.6
Key Deliverables
- Understand the key concepts and features of data clustering and Python language
- Learn how to use Python for the K-means algorithm
- Design and execute a whole data clustering workflow and interpret the outputs
- Gain an in-depth understanding of K-Means Clustering, Machine Learning, and Programming in Python
Also Read – Most Popular Programming Languages for Data Science
Python for Data Science by edX
This course is a part of edX’s Data Science MicroMasters program. In this course, you will learn about open-source tools used in data analysis and data science. You will learn to use –
- Python
- Jupyter notebooks
- Pandas
- Numpy
- Matplotlib
- Git
To take up this course you should have previous experience with any programming language like Java, C, Pascal, Fortran, C++, Python, PHP, etc. You should be comfortable with loops, variables, etc.
Course Duration – 10 Weeks
Key Deliverables
- Learn about the basic process of data science, Python, and Jupyter notebooks
- Gain knowledge of manipulating and analyzing uncategorized datasets
- Learn to use powerful, open-source, Python tools, including Pandas, Git and Matplotlib
- Audit the course for free
Data Science: Computational Thinking with Python by edX
With the help of the course – Data Science: Computational Thinking with Python, you can learn the basics of computational thinking using the programming language, Python. In this course, you will get your hands dirty on large real-world data sets through interactive assignments and sharpen your interpretation and communication skills. You don’t need to have any prior experience with programming, Python, or statistics.
Course Duration – 5 Weeks
Key Deliverables
- Learn to organize and leverage the humongous data
- Master the basics of Python and its use as an efficient data analysis tool
- Learn how to use computation in your data storytelling data along with the fundamentals of data visualization
Thinking about whether you should learn Python and Hadoop or not? Check out the top reasons to Learn Python and Hadoop.
Python for Data Science and AI by Coursera
The above course by Coursera will help you learn the fundamentals of Python, data structures, and data analysis. During the course, you will learn to create basic programs, work with data, and solve real-world problems in Python. The course includes complete hands-on exercises and culminates in a final project. The course is a part of 3 specialized programs – IBM Applied AI Professional Certificate; Applied Data Science Specialization; and IBM Data Science Professional Certificate.
Course Duration – 5 Weeks
Course Rating – 4.6
Key Deliverables
- Earn course completion digital badge from IBM
- Learn how to build your first program in Python
- Strengthen your knowledge about key Python functions, objects, and classes
- Learn skills of Data Science, Python Programming, Data Analysis, Pandas, and Numpy
Python Certification Training for Data Science by Edureka
The Data Science Training with Python will help you to explore the basics of Python concepts from scratch. The course covers important Python programming concepts such as data operations, file operations, object-oriented programming, along with Python libraries such as Pandas, Numpy, Matplotlib essential for Data Science. You will also get to explore the concepts of Machine Learning, Recommendation Systems, Support Vector Machines, Decision Trees, and others.
Course Duration – 7 Weeks
Course Rating – 4.6
Key Deliverables
- Get 60 days of Cloud Lab access
- Gain practical experience through activity problems, assignments, and scenarios
- Learn to train your machine based on real-life scenarios using Machine Learning Algorithms
- Edureka’s Python for Data Science Professional Certificate Holders work at top companies like Dell, Honeywell, vmware, CISCO, etc.
Check out the best Python Courses online
Conclusion
The job market of data science is booming and if you want to be a part of this futuristic professional population then you must gain specific skills that make you stand out of the crowd. Python is an indispensable part of data science, and learning this programming language can be a good starting point to start a career as a data scientist. These handpicked top Python courses can help you in your career aspirations. So pick the right course for you and get started to achieve your dream of being a data scientist.
Rashmi is a postgraduate in Biotechnology with a flair for research-oriented work and has an experience of over 13 years in content creation and social media handling. She has a diversified writing portfolio and aim... Read Full Bio
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