15 Best Online Data Science Courses for Everyone in 2023

Are you seeking for the Best Online Data Science Courses? If so, your search will come to an end after reading this essay. In this article, I’ve identified the 15 Best Online Data Science Courses. These courses can help you improve your data science skills. So go ahead and study the entire post before deciding on the Best Online Courses for you.

Best Online Data Science Courses in 2023

One of the most popular fields is data science. The field of data science pays well. Everyone is attempting to enter the Data Science field.

Demand for Data Scientists is strong, but supply is limited. This is the primary reason behind Data Science’s high salary.

A Data scientist must be well-versed in the following skills:

Programming Capabilities
Probability or Statistics
Learning Machines
Linear Algebra and Multivariate Calculus
Data manipulation.
Visualization of data.
Database Administration
BigData

A Ph.D. is not required for data scientists. If you have in-depth knowledge of these talents, you should have no trouble finding work in the Data Science field.

The following question is, where should I learn?

Right?

As a result, there are numerous courses and publications available to assist you in your data science journey. It can be tough to read novels at times. As a result, there are numerous online courses available. You can master advanced data science skills at your own speed with these courses.

This article will provide you with the 15 Best Online Courses for Data Science.

Let’s get started without further ado-

1. Coursera IBM Data Science Professional Certificate

IBM is the provider.

The rating is 4.6/5.

Duration: 10 months (5 hours every week)

This is one of the most popular and well-received course series. This IBM Professional Certificate is designed for anyone interested in pursuing a career in data science.

This curriculum is made up of nine courses. These nine courses will cover all aspects of Data Science, beginning with open source tools and libraries and progressing to methods, Python, databases, SQL, data visualization, data analysis, and machine learning.

No prior experience of computer science or programming is required to begin the Professional Certificate from IBM Program.

Let’s have a look at the talents you’ll earn after finishing this course-

Gaining Knowledge-

  • The Science of Data
  • Learning Machines
  • Python Development
  • Data Examination
  • Visualization of data (DataViz)
  • Modeling Predictive
  • RDBMS stands for Relational Database Management System.
  • Cloud SQL Databases
  • Pandas, Numpy, and Ipython are all Python packages.
  • Hands-on projects and the creation of a portfolio of data science initiatives.

Which tools will you use?

  • Jupyter/JupyterLab,
  • Zeppelin journals,
  • The R Studio,
  • Watson Design Studio

Which projects will you be working on?

  • Album generated at random,
  • Estimate housing prices,
  • The most effective classifier model,
  • The battle of the neighborhoods.

Courses include the following:

This Specialization Program includes nine courses:

  • What exactly is Data Science?
  • Data Science Tools
  • The Methodology of Data Science
  • Python for Data Science and Artificial Intelligence
  • SQL and Databases for Data Science
  • Python-based Data Analysis
  • Python Data Visualization
  • Python Machine Learning
  • Capstone in Applied Data Science

You may also sign up for a single course. You will also receive a shareable certificate after completing a single course. However, finishing the entire curriculum will benefit you.

Additional Advantages-

  • Coursera will provide you a Professional Certificate.
  • IBM will issue you a Digital Badge.
  • You will receive FREE career materials after earning the Professional Certificate.

Who Should Sign Up?

  • Those who are new to Data Science and have no prior experience.
  • The person who is looking to start a new career or alter their existing one.

The following Best Online Data Science Course is-

2. Udacity – Become a Data Scientist

The rating is 4.7/5.

Time to completion: 4 months (if you work 10 hours per week)

Udacity offers this Nano-Degree Program. You will learn how to solve Data Science problems utilizing Python programming, Software Engineering skills, and Data Engineering skills in this Nanodegree program.

The Udacity Data Science Nanodegree is superior to other courses in that it is more practical. That is, the Udacity data science Nanodegree is structured in such a way that after each set of classes, you must submit a project.

You will work on the following projects as part of this Nanodegree program:

  • Figure Eight can be used to create disaster response pipelines.
  • IBM can help you create a recommendation engine.
  • Capstone Project in Data Science

You must select one of these projects or any other project for your Data Science Capstone Project.

  • Classification of Dog Breeds (Neural Networks)
  • Starbucks (Segmentation of Customers)
  • Arvato Financial Services (Supported Learning)
  • Spark for Big Data (Customer Churn with PySpark)
  • Any other project of your choice.

Additional Advantages-

  • You will have the opportunity to collaborate on real-world projects with industry experts.
  • Project feedback will be provided by expert reviewers.
  • You will also be assisted by a technical mentor.

Who Should Sign Up?

  • Those who are familiar with the following ideas-
  • Python programming, includes widely used data analysis tools (NumPy, pandas, and Matplotlib).
  • SQL development
  • Descriptive and inferential statistics
  • Calculus
  • Algebra Linear
  • Data wrangling and visualization experience

3. Coursera Data Science Specialization

Johns Hopkins University is the provider.

4.5 out of 5

Completed in 11 months (7 hours per week)

This is also one of the most popular and well-attended course series. There is a separate part on statistics in this course series. Statistics knowledge is also required for Data Science.

This Data Science Specialist Program is the ideal blend of theory and practice. For all Data Science jobs, the R programming language is employed.

This curriculum includes ten classes.

Gaining Knowledge-

  • The Science of Data
  • Learning Machines
  • Programming in R
  • Rstudio
  • Github
  • Analysis of Regression
  • Data Examination
  • Manipulation of Data
  • Data Purification
  • Analysis of Clusters
  • Debugging
  • REGEX stands for Regular Expression.
  • Practical project utilizing the R Programming Language.

Courses include the following:

This Specialization Program is made up of ten courses:

  1. Toolkit for Data Scientists
  2. Programming in R
  3. Data Collection and Cleaning
  4. Analyzing Exploratory Data
  5. Research that can be replicated
  6. Statistical Analysis
  7. Models of Regression
  8. Machine Learning in Action
  9. Creating Data Products
  10. Capstone in Data Science

You can also enroll in any of these ten courses. You will also receive a certificate upon completion of the course and hands-on project. However, finishing the entire curriculum will benefit you.

Additional Advantages-

  1. After finishing the Data Science Specialty Program, you will receive a Shareable Certificate.
  2. Course Videos and Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, and Graded Programming Assignments are also included.

Who Should Sign Up?

  1. Those with basic knowledge of any programming language.
  2. If you wish to master Data Science capabilities.

The following Best Online Data Science Course is-

4. Coursera’s Applied Data Science with Python Specialization

University of Michigan is the provider.

4.5 out of 5

Duration: 5 months (7 hours per week)

The Python programming language is used to teach data science in this specialty program.

You will be given a solid foundation in data science Python libraries such as matplotlib, pandas, nltk, scikit-learn, and networkx.

This lecture series excludes Statistics, which are required for Data Science and many Machine Learning techniques. It focuses on implementing these algorithms in Python.

If you wish to start with Statistics, look into the Statistics with Python Specialization. Statistics with Python Specialization will teach you critical statistical abilities needed for data science.

Acquiring New Abilities-

  1. Text Exploration
  2. Python Development
  3. Data Purification
  4. Virtualization of Data
  5. Visualization of data (DataViz)
  6. Algorithms for Machine Learning (ML)
  7. NLTK stands for Natural Language Toolkit.

Courses include the following:

This Specialization Program is made up of five courses:

  1. Python Data Science Fundamentals
  2. Python Plotting, Charting, and Data Representation
  3. Python Machine Learning Application
  4. Python Text Mining Application
  5. Python-Based Social Network Analysis

To receive a certificate, you must complete all five courses.

Additional Advantages-

  1. You’ll receive a Shareable Certificate.
  2. Course Videos and Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, and Graded Programming Assignments are also included.

Who Should Sign Up?

  1. This program is not intended for beginners. This program is open to anyone with intermediate-level knowledge of data science.
  2. The one who understands basic Python or programming.

The following course in the list of Best Online Data Science Courses is-

5. Python Programming for Data Science- Udacity

UDACITY is a service provider.

Udacity offers this Nanodegree program. You will learn how to represent and store data using Python data types and variables in this Nanodegree program. Conditionals and loops will also be used to govern the flow of your scripts.

You will store collections of linked data using complicated data structures such as lists, sets, dictionaries, and tuples. You will also be introduced to two important Python libraries: Numpy and Pandas.

What Will You Learn in Python Data Science Programming?

  • SQL Fundamentals
  • Python Programming Foundations
  • The Basics of Version Control

Additional Advantages-

  • You will have the opportunity to collaborate on real-world projects with industry experts.
  • Project feedback will be provided by expert reviewers.
  • You will also be assisted by a technical mentor.
  • You will also receive Resume services, Github evaluation, and LinkedIn profile review.

Who Should Sign Up?

Anyone with basic computer abilities can enroll in this program.

6. DataCamp: Data Science for Everyone

Time required to complete- 4 hours

This is a beginner-friendly course in which you will study the fundamentals of data science such as Introduction to Data Science, data science process, data preparation, experimentation, and prediction. If you are a newbie, this is another excellent course to get you started in data science.

This course is divided into four chapters:

  • Data Science Fundamentals
  • Data Gathering and Storage
  • Planning, Investigation, and Visualization
  • Experimentation and Forecasting

Who Should Sign Up?

Who is a novice in data science?

7. Data Scientist with Python- Datacamp

Time required to complete- 88 hours

This is a career path that includes 29 courses. If you want to learn everything there is to know about data science in one spot, this is the course for you. Python programming is the first step in this career path. Python will be taught to you from the ground up.

You will study data manipulation with pandas, data visualization using matplotlib and Seaborn, statistical thinking in Python, machine learning, and much more after learning Python. You will work on real-world problems throughout these courses.

Who Should Sign Up?

Those who are completely new to data science and are seeking for a step-by-step professional path in data science.

8. edX’s Professional Certificate in Data Science

Harvard University is the provider.

Time to finish: 1 year and 5 months (if you work 3 hours per week).

You will learn probability, inference, regression, and machine learning in this curriculum. Along with this, you will learn R programming, data wrangling with dplyr, data visualization with ggplot2, Unix/Linux file management, version control with git and GitHub, and reproducible document creation with RStudio.

Case studies include Trends in World Health and Economics, US Crime Rates, the 2007-2008 Financial Crisis, Election Forecasting, Building a Baseball Team (influenced by Moneyball), and Movie Recommendation Systems.

You will also study R, statistical ideas, and data analysis tools in addition to this. This curriculum includes classes. Let us now look at the course details-

Course Specifics-

  • R Fundamentals in Data Science
  • Data Visualization in Data Science
  • Probability is an important concept in data science.
  • Inference and Modeling in Data Science
  • Tools for Productivity in Data Science
  • Wrangling Data Science
  • Linear Regression in Data Science
  • Machine Learning in Data Science
  • Capstone in Data Science

Who Should Sign Up?

Anyone is welcome to apply. There are no requirements.

9. edX MicroMasters® Program in Data Science

UCSanDiego is the provider.

Duration: 10 months (9-11 hours per week)

This curriculum will teach you the mathematical and computational techniques that are the foundation of data science. You’ll also discover how to use these tools to produce data-driven business recommendations.

This degree teaches data science on two levels: mathematical and applied.

Probability, statistics, and machine learning will be covered in the mathematics course. You’ll also learn about Python, Numpy, Matplotlib, pandas and Scipy, the Jupyter notebook environment, and Apache Spark.

This curriculum includes four classes. Let us now look at the specifics of the courses-

Courses include the following:

  1. Python as a Data Science Tool
  2. Python Probability and Statistics in Data Science
  3. The Fundamentals of Machine Learning
  4. Spark is used for big data analytics.

Who Should Sign Up?

Who is knowledgeable with programming languages and has a working knowledge of high school math.

10. Udemy’s The Data Science Course 2023: Complete Data Science Bootcamp

Time required to complete- 28.5 hours

This is the best course I’ve discovered on Udemy. Why? Because this course attempts to cover nearly all of the necessary subjects in data science. This course covers the following topics: introduction to data science, statistics, and data science mathematics, Python, Tableau, machine learning, and deep learning.

Additional Advantages-

  1. A Certificate of Completion will be issued to you.
  2. You will also have lifetime access to the course material.

Who Should Sign Up?

Those who are new to data science.

11. Coursera’s Business Analytics Specialization

University of Pennsylvania is the provider.

4.5 out of 5

Duration: 6 months (3 hours every week)

This Specialization program introduces all business professionals to big data analytics. There is no requirement for prior Data Analytics experience.

You’ll learn how to forecast business decisions in marketing, human resources, finance, and operations.

This curriculum is made up of five courses.

Gaining Knowledge-

  1. Business Intelligence
  2. Customer Intelligence
  3. Analytics Predictive
  4. Analysis of Regression
  5. Marketing Performance Analysis and Management
  6. Simulation
  7. Optimization in Mathematics
  8. Management of Performance
  9. Management of Talent

Courses include the following:

This Specialization Program is made up of five courses:

  1. Customer Intelligence
  2. Analytics for Operations
  3. People Intelligence
  4. Analytics in Accounting
  5. Capstone in Business Analytics

Additional Advantages-

  1. You’ll receive a Shareable Certificate.
  2. Course Videos and Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, and Graded Programming Assignments are also included.

Who Should Sign Up?

  1. Who wants to learn more about how big data and analytics are employed. Marketing (customer analytics), human resources, talent management (people analytics), operations, and finance are all examples.
  2. The one who wishes to develop new company strategies based on data analytics or who wishes to better its own operations.
  3. Who is a novice with no prior knowledge or experience in business or analytics.

The following are the Best Online Data Science Courses:

12. Data Engineering, Big Data, and Machine Learning on GCP Specialization- Coursera

Google Cloud is the provider.

4.5 out of 5

Duration: 2 months (12 hours per week)

This Google Cloud Specialization program provides a hands-on introduction to designing and building data pipelines on the Google Cloud Platform. It combines presentations, demonstrations, and hands-on laboratories.

Gaining Knowledge-

  1. How should data pipelines be designed and built on the Google Cloud Platform?
  2. How to use Cloud Dataproc to lift and relocate your existing Hadoop workloads to the cloud.
  3. You will discover how to process batch and streaming data.
  4. How to use Data Fusion and Cloud Composer to manage your data pipelines.
  5. Using Google BigQuery, you will learn how to extract business insights from extraordinarily huge datasets

Courses include the following:

This Specialization Program is made up of five courses:

  1. Fundamentals of Google Cloud Platform Big Data and Machine Learning
  2. Using GCP to Modernize Data Lakes and Data Warehouses
  3. Creating Batch Data Pipelines on Google Cloud Platform
  4. Using GCP to Build Resilient Streaming Analytics Systems
  5. GCP Smart Analytics, Machine Learning, and AI

Additional Advantages-

  1. You’ll receive a Shareable Certificate.
  2. Course Videos and Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, and Graded Programming Assignments are also included.

Who Should Sign Up?

Those with intermediate level data science understanding.

13. Edureka’s Python Certification Training for Data Science

Edureka is the provider.

The rating is 4.6/5.

This certification program teaches Data Science using Python programming from the ground up. This course will teach you the fundamentals of Python concepts such as data operations, file operations, object-oriented programming, and Python libraries.

Gaining Knowledge-

  • You will discover the following:
  • Python Fundamentals
  • File Operations and Sequences
  • Functions, OOPs, Modules, Errors, and Exceptions in Depth
  • NumPy, Pandas, and Matplotlib Fundamentals
  • Manipulation of Data
  • Python Machine Learning Fundamentals
  • I Supervised Learning
  • Reduced Dimensionality
  • II Supervised Learning
  • Unsupervised Education
  • Mining and Recommendation Systems for Association Rules
  • Learning through Reinforcement
  • Analysis of Time Series
  • Model Selection and Enhancement

Additional Advantages-

  • You will receive the Python for Data Science Professional Certificate from Edureka.
  • You will get access to the Learning Management System for the rest of your life, which includes class presentations, quizzes, installation manuals, and class recordings.
  • You will have unlimited access to our online help 24 hours a day, seven days a week.
  • You will also have access to the worldwide community forum.

Who Should Sign Up?

  • Those with a fundamental understanding of computer programming languages.
  • Programmers, Developers, Technical Leads, and Architects.
  • Developers interested in becoming a ‘Machine Learning Engineer’
  • Business Analysts interested in Machine Learning (ML) Techniques

14. Edureka’s Data Scientist Masters Program

Edureka is the provider.

The rating is 4.4/5.

Statistics, Data Science, Python, Apache Spark & Scala, Tensorflow, and Tableau are all covered in this Data Scientist Masters Program.

It has 12 courses.

Because it covers practically every area in Data Science, this Masters Program will exactly make you a master.

Courses include the following:

  • Course on Python Statistics for Data Science
  • Course on R Statistics for Data Science
  • Training for Data Science Certification
  • Python Data Science Certification Training
  • Scala and Apache Spark Certification Training
  • Tensor Flow AI and Deep Learning
  • Tableau Certification and Training
  • Capstone Project for the Master of Science in Data Science
  • In addition, there are some FREE Elective Courses-
  • SQL Essentials Certification and Training
  • Training for Programming Certification
  • Scala Essentials Python Programming Certification Training
  • MongoDB┬« Certification and Training

Additional Advantages-

  • You will be awarded a Masters Course Certification.
  • You will have unlimited access to presentations, quizzes, and installation manuals for the rest of your life. In addition, you will be assigned a Personal Learning Manager who will answer all of your questions.

Who Should Sign Up?

Anyone, whether an experienced expert in the IT business or an aspirant, can enroll.

The last but not least good online data science course is-

15. Data Science Career Path – Codecademy

This is yet another excellent Data Science course. Let’s have a look at what you’ll study in that course-

What Will You Learn in the Data Science Career Path?

  • The Importance of Data and SQL Fundamentals
  • SQL Fundamentals
  • Intermediate SQL
  • Use SQL Off-Platform
  • SQL can be used to analyze real-world data.
  • Python Logic and Functions
  • Python Loops and Lists
  • Python for Advanced Users
  • Python Combined Project
  • Pandas Data Analysis Training
  • Visualization of Data
  • Capstone Data Visualization Projects
  • Python Statistics Training
  • NumPy can help you learn statistics.
  • SciPy Hypothesis Testing
  • Python Data Cleaning Instructions
  • Capstone Projects in Data Analysis
  • Beautiful Soup teaches web scraping.
  • Supervised Learning with a Cumulative Project in Machine Learning
  • Unsupervised Learning with Cumulative Project in Machine Learning
  • Neural Nets and Perceptrons
  • Capstone Project in Machine Learning
  • NLP stands for Natural Language Processing.

What Projects Will You Create in Your Data Science Career Path?

Sublime Limes and Honey Production will be your projects.

Who Should Sign Up?

  • Those who are new to the field of data science.
  • Those who desire to work as a data scientist or analyst.

So, these are the Best Online Data Science Courses that will help you become a proficient Data Scientist.

I’d like to share some personal recommendations for learning Data Science.