The 7 Best (and Affordable!!!) Data Science Courses with a Specialization Certificate

Without any research and insights about our competitive strength and finding more about ‘Data Science Courses’ the keyword for this post, it would be impossible for us to make any confident decisions while planning SEO content

With 400 million blogs today, it's exceedingly difficult to rank faster but not impossible with help of tools like Alexa, Google Trends and Google Keyword Planner.

Its evident that the Data team of Google and Amazon is at the helm of generating robust, actionable analytics from immense data sets. It’s interesting and good to see the clarity visualized in Alexa, Google Trends and Google Keyword Planner, on how people interact with the web and are the basis for usable features that inform us about critical business strategies

Great for Amazon and Google but what if you want to learn Data Science and be part this change in the world. You might ask Where do I start? and What is the best online course to learn data science? Should I choose Python or R?

Well Here's a Curriculum Guideline

Data Science Curriculum Guideline

Fortunately, Data Science popularity has yielded hundreds of articles, videos, webinars, courses, and books catering to beginners and experts who aspire to expand their minds.

If you are new to Data Science, you'll find the recommendations in this article tremendously helpful. With the help of 3 Data Science Enthusiasts and 2 content researchers, we have listed some of the best available courses and specializations for learning data science, the self-starters' way!

The 7 Best Data Science Courses with a Specialization Certificate

Here's curated a list of the best (and Affordable!!!) data science courses with professional specialization certification to upgrade your skills with applicability to real jobs that employers value.

1. Introduction to Data Science in Python (Highly Recommended)

The University of MichiganThis course is created by the University of Michigan and published on Coursera and has been rated 4.5 of 5, of 7,815 ratings. This course is perfect for self-starters to learn the basics of the Python programming environment, including fundamental python programming techniques such as lambdas, reading and manipulating CSV files, and the numpy library.

Is it right for you?

The course will introduce you to the best-applied techniques for data manipulation and cleaning using  Pandas, the data science and machine learning library in Python. You will also learn the abstraction of the Series and DataFrame as the central data structures for data analysis, along with tutorials on how to use functions such as groupby, merge, and pivot tables effectively.

Best Data Science Courses
Source: Coursera
What you will learn?
  • Describe common Python functionality and features used for data science
  • Clean and manipulate tabular data
  • Explain distributions, sampling, and t-tests
  • Query DataFrame structures for cleaning and processing
  • Run inferential statistical analyses
  • Understand techniques such as lambdas and manipulating CSV files

Learning Path - Applied Data Science with Python Specialization

Go to Course 

2. Data Science Specialization (Highly Recommended)

John Hopkins UniversityData Science Specialization is a nine-course introduction to data science, created and taught by leading professors at John Hopkins University. This specialization will equip you with the functional knowledge of R Programming, key statistical concepts, reproducible research for scientific claims, and Machine Learning.

Is it right for you?

Data Science Specialization is suitable for beginners with no programming experience or formal background in statistics or maths. All the courses offered in this specialization will equip you with key concepts and tools you'll need throughout the entire data science pipeline and by the end of this course, you'll have a set of data science skills to transform your data into actionable insight.

Best Data Science Courses
Source: Coursera
What you will learn?
  • The Data Scientists Toolbox
  • R Programming
  • Getting and Cleaning Data
  • Exploratory Data Analysis
  • Reproducible Research
  • Statistical Inference
  • Regression Models
  • Practical Machine Learning
  • Developing Data Products
  • Data Science Capstone
Go to Specialization

3. Data Scientist with Python Track

DataCamp LogoData Scientist with Python Track is comprised of 22 Courses offered by DataCamp, this learning track covers every major topic to equip students to create data-driven products which can be used to solve real-world problems.

Is it right for you?

This learning track is suitable for beginners who’ve never touched Python, to get familiarised with the language and how Python can help in achieving data analysis tasks and become a reliable and skilled practitioner of the art.

Best Data Science Courses
Source: DataCamp
What you will learn?
  • Python Basics and Fundamentals
  • Python Data Science Toolbox (2 Parts)
  • Importing Data in Python (2 Parts)
  • Cleaning Data in Python
  • Pandas Foundations
  • Manipulating DataFrames and Merging DataFrames with Pandas
  • Intro to SQL for Data Science
  • Introduction to Databases in Python
  • Introduction to Data Visualization with Python
  • Interactive Data Visualization with Python
  • Statistical Thinking in Python (2 Parts)
  • Joining Data in PostgreSQL
  • Supervised Learning with scikit-learn
  • Machine Learning with Experts: School Budgets
  • Unsupervised Learning in Python
  • Deep Learning in Python
  • Network Analysis in Python (2 Parts)
You can Sign up here

4. IBM Data Science Professional Certificate

IBM LogoIBM Data Science Professional Certificate is a specialization comprised of 9 courses, offered on Coursera. This specialization will introduce you to open source tools for performing data science tasks, statistical libraries, cloud services, datasets, Machine Learning algorithms, assignments and projects that will provide you with practical and latest job-ready skills.

Is it right for you?

This course is designed for the learner who has never used Python before and wants to learn more about data science using Python. Hands-on exercises and projects are central to the syllabus, so if you prefer hands-on learning, you’ll definitely love this specialization.

Best Data Science Courses
Source: Coursera
What you will learn?
  • What is Data Science?
  • Open Source tools for Data Science
  • Data Science Methodology
  • Python for Data Science
  • Databases and SQL for Data Science
  • Data Analysis with Python
  • Data Visualization with Python
  • Machine Learning with Python
  • Applied Data Science Capstone
Go to Specialization

5. Applied Data Science with Python Specialization 

The University of MichiganApplied Data Science with Python is a skills-based specialization offered by the University of Michigan. The 5 courses in that introduce learners to data science through Python and equip with functional knowledge of using popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and network to gain insight into their data.

Is it right for you?

This specialization requires basic knowledge of Python or some coding experience. You will learn the concepts to process or apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through open source tools and libraries in Python.

Best Data Science Courses

What you will learn?
  • Introduction to Data Science in Python
  • Applied Plotting, Charting & Data Representation in Python
  • Applied Machine Learning in Python
  • Applied Text Mining in Python
  • Applied Social Network Analysis in Python
Go to Specialization

6. Become a Data Scientist

Data Quest LogoBecome a data scientist learning path by Dataquest offers a practical approach to introduce learners to data science using interactive coding challenges to make inferences and predictions from data. This learning path will equip you to think and solve problems like a data scientist.

Is it right for you?

Dataquest offers free access to much of its course materials so that learners with no background in programming can evaluate the content before paying for premium services which include tutored projects.

Best Data Science Courses
Source: Dataquest
What you will learn?
  • Introduction to Python Basics and Fundamentals
  • Data Analysis and Visualization
  • The Command Line
  • Working with Data Sources
  • Probability and Statistics
  • Machine Learning
  • Advanced Python and Computer Science
  • Advanced Topics in Data Science
  • Working With Large Datasets
You can Sign up here

7. Data Science at Scale Specialization

University of Washington LogoData Science at Scale Specialization covers 4 intermediate courses in data science to help learners gain hands-on experience with scalable SQL and NoSQL data management solutions, data mining algorithms, and practical statistical and machine learning concepts. You will also learn the Data Visualization techniques and explore legal and ethical issues that arise in working with big data.

Is it right for you?

This specialization requires some background in programming and basic knowledge of data management solutions. You will learn and understand the efficient use of scalable data management, how to evaluate big data technologies, and design effective visualizations to the communicate results effectively.

Best Data Science Courses

What you will learn?
  • Data Manipulation at Scale: Systems and Algorithms
  • Practical Predictive Analytics: Models and Methods
  • Communicating Data Science Results
  • Data Science at Scale - Capstone Project

Go to Specialization

We hope the resources listed in this article puts you in the fast lane and if you liked this article enough, do share it with your friends. Also, subscribe to our Data-Centric Newsletters to keep up with similar insights once every fortnight.

Having said that – Is there anything you feel we should have included? Let us know in the comments below!

happy learning . . .👇🏾

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