Best Python Certification for Data Science

Introduction

In this tutorial, we are learning about the Best Python Certification for Data Science. Market research shows that data science job is increasing due to rapid changes in technology. With over 70,000 open data scientist/analyst jobs here, you will be in good hands if you want to become a data scientist. In 2012, when Harvard Business Review (HBR) hailed data scientists as the attractive job of the 21st century, there were virtually no degrees, online courses, or even boot camps. But now the situation has quickly changed. Now, you can improve yourself with different skills by joining popular courses that will also teach you Python and data science.

What Are the Uses of Python in Data Science?

Python is a popular programming language in data science because it is versatile and easy to use. It has a large community of users and developers. This means there are many resources and libraries available to data scientists.

One of the main advantages of using Python programming language with data science is its strong support for math and science. This makes it the best language for working with data, whether it is structured data or unstructured text. Python also has powerful libraries such as NumPy and Pandas, which provide a variety of tools for data manipulation, analysis, and visualization.

Additionally, Python is a high-level programming language. It means it is easy to read and write, making it accessible to many users. According to Statista, Python will be the third most in-demand language for employees in 2022. Toptal's Python hiring guide explains how to find a job with a good Python developer. In addition, the Most Popular Programming Language Index (PYPL), the official ranking of programming languages, has reinforced Python's position as the most popular programming language.

In general, it would not be wrong to say that learning Python and data science can be a valuable investment in now days. For those who want to advance their careers. Python is a highly sought-after skill in the business world and job market. The knowledge of Python can open the door to many career opportunities like data science, data analysis, and many other fields.

List of Some of The Best Python Certification Courses for Data Science

Here, we listed down the names of some of the best Python certification courses for Data Science -

IBM Data Science Professional Certificate from Coursera

If you are learning data science but want to program in Python, then You can check out IBM's Data Science professional certification courses on Coursera. The program will introduce you to the latest technology and skills, such as open-source tools and libraries, Python, databases, SQL, data visualization, data analysis, statistical analysis, predictive modeling, and machine learning. You will learn data science through hands-on work on IBM Cloud using real data science tools and real-world data. After completing this course, you will have a data science background that will give you the confidence to pursue interesting careers in data science.

What will you learn from the IBM data science professional certification course in Coursera?

1. From this course, you can learn about data science, the various tasks of a data science job, and how to think and work like a data scientist.
2. You can develop practical skills using tools, languages, and libraries that data scientists use.
3. Import, analyse, and use datasets using Python to visualize data and develop and evaluate machine learning models. Use a variety of data science skills, techniques, and tools to complete tasks and report data to stakeholders using real data.

What are the prerequisites of this course?

There is no need for basic knowledge of data science or any programming language skill for this course.

What is the duration of this course?

The duration of this course is 11 months. Need 4 hours of study each week.

What is the language used in this course?

English is used in this course.

What is the level of this course?

The level is beginner to intermediate.

Is the course paid or non-paid?

It is a paid course.

When is the certificate available?

After completing the course, you can get your completion certificate with a digital badge from IBM.

Applied Data Science with Python - University of Michigan (in Coursera)

Learn about Python data science with the Python Applied Data Science course offered by the University of Michigan through Coursera. This skills-based course will introduce you to the fundamentals of data science. You need basic Python knowledge to start this feature. With this program, you can use statistical data, machine learning, data visualization, text analysis, and social analysis techniques using popular Python tools like pandas, matplotlib, scikit-learn, etc.

What will you learn from the Applied Data Science with Python course in Coursera?

1. From this course, you can learn about the basics of the Python programming environment, including basic Python techniques like Lambdas, reading and manipulating CSV files, and the NumPy library.
2. We also develop an understanding of how data analysis strategies can be developed using machine learning techniques.
3. Here, we learn how Python helps text search and text manipulation using the Nltk framework.
4. Here, we also learn to plot, chart, and represent the data in Python.
5. Learn how to use the Networkx library for network analysis and discover network connections.

What are the prerequisites of this course?

Here, you need the basic knowledge of Python or any programming language skill for this course.

What is the duration of this course?

The duration of this course is 5 months. Need 7 hours of study each week.

What is the language used in this course?

English is used in this course.

What is the level of this course?

The level of this course is intermediate.

Is the course paid or non-paid?

It is a paid course.

When is the certificate available?

After completing the course, you can get your completion certificate.

Master Python for Data Science from LinkedIn Learning

LinkedIn Learning's Master Python Data Science course will help you master Python and become a proficient data scientist. These 5 courses include Python fundamental courses that will help you learn how to use Python to complete data science. From cleaning and managing data to building and evaluating machine learning models, you will have the skills you need to succeed in the workplace. Class instructors will guide you through interactive sessions and practical exercises, ensuring you can apply your new knowledge to the real world. Additionally, you can present your skills to employers and advance your career with the certificate of completion you will receive upon completion.

What will you learn from the Master Python for Data Science course in LinkedIn Learning?

1. Learn to use Python tools and techniques to solve the real-world problems.
2. Make predictions and optimize routine tasks using machine learning.
3. Learn how to analyse data using Python libraries such as NumPy and Pandas.
4. Learn to use Python 3 to create scripts, modules, and integrated databases.
5. Learn how to clean, modify, analyse, and display data.
6. Learn how to use Python to search, manipulate, and display data.
7. Learn to create accurate data and view data visualization dashboards.

What are the prerequisites of this course?

Here, you do need a basic knowledge of Python.

What is the duration of this course?

The duration of this course is 10 hours.

What is the language used in this course?

English is used in this course.

What is the level of this course?

The level of this course is intermediate.

Is the course paid or non-paid?

It is a paid course.

When is the certificate available?

After completing the course, you can get your completion certificate.

Data Scientist with Python from DataCamp

Datacamp's Python Data Scientist course is the second-best Python Data Science course on our list. This course teaches you how to import, clean, manage, and visualize data using Python, essential skills for anyone interested in data science or research.

This course starts with the basics of Python for data science and includes interactive activities to test your knowledge. You will learn to use popular Python data analysis tools like Pandas, NumPy, Seaborn, Matplotlib, and others. You will use real-world data to learn statistical and machine-learning techniques, such as hypothesis testing and building predictive models. You will also learn how to track learning with scikit-learn. You can use this knowledge in various projects. By completing this course, you will have the knowledge and skills you need to become a qualified Python developer. There are 25 courses in this DataCamp course.

DataCamp founder and data scientist Hugo Bowne created this course to help you understand data science and get better results in your IT business. This course will help you master Python, a popular tool for data science due to its interactive text for analysis. It will teach you how to analyze data and master basic Python techniques.

What will you learn from the Data Scientist with Python course in DataCamp?

1. From this course, you can learn how to use data types and variables in Python programs.
2. Here, you learn to make your code more efficient using functions, loops, packages, and libraries.
3. You also learn to use lists to store, clear, and manipulate data through operations such as slicing.
4. Learn how Python developers reduce the amount of code needed to solve problems.
5. Learn how to effectively process the large amounts of data.

What are the prerequisites of this course?

Here, you need a basic knowledge of Python and SQL.

What is the duration of this course?

The duration of this course is 96 hours.

What is the language used in this course?

English is used in this course.

What is the level of this course?

The level of this course is beginner to intermediate.

Is the course paid or non-paid?

It is a paid course.

When is the certificate available?

After completing the course, you can get your completion certificate.

Python for Data Science by UC San Diego (edX)

If you have ever wondered how many tools are used to solve complex scientific problems, this course can answer all your questions. UC San Diego offers Python for Data Science through edX. This course will introduce you to the powerful open-source tools needed for data analysis and data science. In particular, you will learn how to use Python, Jupyter Notebooks, Pandas, NumPy, Matplotlib, and many other tools. All these methods will teach you in the context of solving data science problems.

What will you learn from the Python for Data Science course by UC San Diego in edx?

1. From this course, you can learn to use Python to import data to find answers in large datasets.
2. You also learn to use Python and Jupyter Notebooks.
3. Learn to manage and analyse uncrated datasets.
4. Here, you learn some basic concepts of numerical analysis and machine-learning techniques.
5. You also learn to find and visualize results effectively.

What are the prerequisites of this course?

Here, you need experience in any programming language required (such as Java, C, Pascal, Fortran, C++, Python, PHP, etc.). This includes teaching computer science through high school or its undergraduate equivalent. Students should be familiar with if/else loops and variables.

What is the duration of this course?

The duration of this course is 96 hours.

What is the language used in this course?

English is used in this course.

What is the level of this course?

The level of this course is advanced.

Is the course paid or non-paid?

It is a paid course if you participate in the verified track; it is free if you participate in verification without a certificate and deadline.

When is the certificate available?

After completing the course, you can get your completion certificate with the verified track option.

Python Basics for Data Science from edX

For beginners, the edX course called Python Basics for Data Science is offered by IBM. This beginner-level course will introduce you to the Python language in just a few hours and will even help you write your first Python scripts. IBM also allows you to create your data science and collaborate with other data scientists using IBM Watson Studio. When you enrol in this course, you will get free access to Watson Studio. In this course, you can learn the basics of programming, machine learning, and data visualization.

What will you learn from the Python Basic for Data Science course in edx?

1. From this course, we can learn about what Python is and why it is useful.
2. You also learn Python applications in data science.
3. Learn to define variables in Python.
4. Learn Python's sets and conditional statements.
5. Using functions in Python.
6. You also learn to define variables in Python.
7. Learn to use Pandas, a must-have package for anyone trying to use Python for data analysis.

What are the prerequisites of this course?

Here, you need the basic knowledge of math.

What is the duration of this course?

The duration of this course is 3 weeks.

What is the language used in this course?

English is used in this course.

What is the level of this course?

The level of this course is a beginner.

Is the course paid or non-paid?

It is a paid course if you participate in the verified track; it is free if you participate in verification without a certificate and deadline.

When is the certificate available?

After completing the course, you can get your completion certificate with the verified track option.

Python for Data Science and Machine Learning Bootcamp from Udemy

If you are like thousands of students who want to attend a data science and machine learning boot camp to enhance their education but need help finding the right resources, then this learning boot camp is for you. Go forward into Data science with Udemy's Python Data Science and Machine Learning Bootcamp courses. There are many more boot camps on the internet, but Udemy provides it at a very low price. Also, this course includes over 100 HD video lessons and detailed coding notebooks for each course.

The topics you will learn from this course which are coding with Python, NumPy with Python, solving complex tasks with pandas data frames, working with Excel files with pandas, web scraping with Python, connecting Python to SQL, using matplotlib and seaborn to process visual data, for interactive visualization Use Plotly and SciKit Learn for machine learning including horizontal lines, K-nearest neighbors, K-means clusters, decision trees, random forests, natural language processing, neural networks and deep learning, support vector machines, and many more things.

What will you learn from the Python for Data Science and Machine Learning Bootcamp course in Udemy?

1. From this course, we can learn to use Python for data science and machine learning.
2. Here, we also learn to use Pandas for data analysis.
3. For plotting, we learn to use Python Matplotlib.
4. For big data analysis, we learn the use of Spark.
5. Learn to apply machine learning algorithms.
6. For interactive dynamic visualization, we learned to use Plotly.
7. Learning to use the NumPy for numerical data.
8. Learning to use the Seaborn for statistical plotting.

What are the prerequisites of this course?

Here, you need a basic knowledge of programming.

What is the duration of this course?

The duration of this course is 25 hours.

What is the language used in this course?

English is used in this course.

What is the level of this course?

The level of this course is intermediate.

Is the course paid or non-paid?

It is a paid course.

When is the certificate available?

After completing the course, you can get your completion certificate.

Python A-Z™: Python for Data Science with Real Exercises! from Udemy:

This course is the best course to learn Python programming for data science and analysis. This Udemy Python data science course will teach you the fundamentals of statistical analysis, data mining, and data visualization. It will also introduce you to the next level of basic programming concepts in Python. You learn how to create lists and use functions and tuples to write, store, and analyze data in Python. Python packages and modules like Numpy and Arrays will be used here.

What will you learn from the Python A-Z™: Python for Data Science with Real Exercises course in Udemy?

1. Good level of programming with Python.
2. Learn to write code in Jupiter Notebooks.
3. Learn the basic principles of programming.
4. Here, we learn to create variables.
5. Here, we also learn about the integer, float, boolean, string, etc in Python.
6. Learn to create loops in Python, such as while() loops and for() loops.
7. Learn to install a package in Python.
8. Introduction about the law of large numbers.
9. Here, we learn to visualize data in Seaborn.

What are the prerequisites of this course?

Here, you do not need the basic knowledge of programming in Python or Machine Learning (ML).

What is the duration of this course?

The duration of this course is 11 hours.

What is the language used in this course?

English is used in this course.

What is the level of this course?

The level of this course is beginner to intermediate.

Is the course paid or non-paid?

It is a paid course.

When is the certificate available?

After completing the course, you can get your completion certificate.

Complete Data Science Training with Python for Data Analysis from Udemy

This course is a complete guide to data science with Python from Udemy. Complete Data Science Data Analysis with Python is a complete 12-hour Python data science boot camp that will help you learn statistical models, data visualization, machine learning, and deep learning in Python. It explains how to use Python and its package to store, extract, clean, and manipulate data. Python based data science methods are applied to real-life data to solve real-life problems.

In this course you will learn about the advanced data science techniques and how to use the Python-based Jupyter Notebook. It will teach you how to perform various data analysis and data visualization to generate data. Students will gain a better understanding of data science techniques and the best ways to interpret data.

What will you learn from the Complete Data Science Training with Python course in Udemy for data analysis?

1. From this course, we can learn Python data analysis using Anaconda. You will work in a very powerful data science iPython or Jupyter environment.
2. Learn to use data analysis tools such as Numpy, Pandas, Scikit, and Matplotlib.
3. Can collect and clean data from different sources using data analysis methods.
4. Here, you learn to search data in Python and handle advanced operations such as tabulation, pivoting, and Data collection. Real data is collected from various sources, and the ability to work with real data.
5. Sort and understand data. How to use Methods to perform the most common data analysis techniques, such as T-tests and linear regression in Python.
6. From this course, you can also understand the difference between machine learning and statistical analysis.
7. Apply various unsupervised learning methods to real-world data.
8. Apply supervised learning techniques (classification and augmentation) to real-world data.
9. Examine accurate and versatile machine learning models.
10. Learn to create simple neural networks and creating deep learning algorithms.
11. Creating deep neural networks using the H2o framework.

What are the prerequisites of this course?

Here, you do not need the basic knowledge of programming in Python or Machine Learning (ML).

What is the duration of this course?

The duration of this course is 13 hours.

What is the language used in this course?

English is used in this course.

What is the level of this course?

The level of this course is beginner to intermediate.

Is the course paid or non-paid?

It is a paid course.

When is the certificate available?

After completing the course, you can get your completion certificate.

Complete Data Science Package from GeeksforGeeks

The complete data science course offered by GeeksForGeeks is one of the most recommended data science courses that provides you with a 360-degree education and helps you realize your timeless dreams of becoming a data scientist. GFG experts have chosen this combined package containing two of the most popular courses, which are:

• Data Structures & Algorithms in Python - Self-Paced course
• Complete Data Science Program

By these two courses, you can start preparing to become a data scientist. This combined course starts with DSA and Python Programming and will help you learn advanced DSA concepts like lists, strings, graphs, and all other important algorithmic concepts that are asked and used in the real world with the help of Python Programming. It also includes Python code support in every video tutorial, new questions and Python support in every question, new exercises, and more.

Once you get acquainted with DSA using Python, you will move on to the Complete Data Science Project Course, which will introduce you to the world of data science, analysing, storing, and deploying different types of data. Design and deployment using the latest research data.

What are the prerequisites of this course?

Here, you need a basic knowledge of programming in Python.

What is the duration of this course?

The duration of this course is 3 to 6 months.

What is the language used in this course?

English is used in this course.

What is the level of this course?

The level of this course is beginner to intermediate.

Is the course paid or non-paid?

It is a paid course.

When is the certificate available?

After completing the course, you can get your completion certificate.

Conclusion

In this tutorial, we are learning about the Best Python Certification for Data Science. Data science is a rapidly growing field nowadays. This field will continue to be in high demand for professionals in the next decade, making it a secure job for data scientists. There are many ways to work, and the good condition of the work is important for this forecast. If you are thinking of becoming a data scientist with knowledge of data science and Python, you can choose any of the above courses to improve your data science skills.