Top 5 Data Science Courses & Certifications That Are Beyond Your Expectation [2022]
When we visit some supermarkets or some brands, they usually ask for our number, email, address, what we bought from them, or other information. Have you ever wondered what they do with that data? If yes, the answer is to improve their services/products or business and analyze it to drive future predictions.
However, data without meaning is useless. So, data science is a science of data in which a large amount of data is collected and analyzed for better decision-making. The research and study are done on that data to make better business decisions and improve the processes. It enables organizations to analyze big data to detect patterns. Companies use these patterns to increase their efficiencies, identify market opportunities, and boost their business to stand out from the competition.
Data science includes statistics, data analysis, and machine learning to drive the insights from the raw data. By analyzing data, data science predicts future patterns. It is related to artificial intelligence as most AI devices use historical data to perform not explicitly programmed actions. Examples are Alexa or Siri (the personal assistants), self-driving cars, chatbots for customer services, and much more.
Why is Data Science Important?
Converting your data into meaningful information can help you make better decisions and take your business to new heights. This is not possible without data science. It helps you drive better business strategies and provides value to your customers. Data science is not confined to tech and related businesses but is also applicable in banking, healthcare, manufacturing, airline route planning, etc.
Data Science Job Market:
Data science is one of the fastest-growing fields and captures the vast job market worldwide. According to Glassdoor, data scientist has been the number one job in the US for three years. The US Bureau of Labor Statistics predicts that by 2026, there will be 11.5 million job openings for data scientists. Moreover, the World Economic Forum has identified data scientists and data analysts as the number one emerging role globally. You can wonder how big the data science market is from the above statistics. Data science professionals are demanded in almost every sector nowadays. This market does not seem to slow down for an extended period and will continue to grow over time.
Besides the physical job market, data science is highly demanded on freelance marketplaces. On Upwork, the biggest traditional freelance marketplace, there are 800+ job openings for different roles in data science. Freelancer.com, another traditional freelance platform, has 13,96 jobs for data science professionals. From this number, we can conclude that data science occupies a considerable part of the job market, continuing to grow.
Career Opportunities in Data Science:
Being the most in-demand skill, data science brings you so many career options to choose from. Here we present some of the leading data science careers and their average salaries to help you choose your path:
- Data Scientist: $139,840
- Machine Learning Engineer: $114,826
- Data Analyst: $62,453
- Data Engineer: $102,864
- Business Analyst: $77,218
- Market Analyst: $57,697
- Machine Learning Scientist: $114,121
Besides all the careers mentioned above, data science experts have many more roles.
How much does a Data Science Expert Earn on Average?
The average salary paid to a data science expert in the US is $121,353/year. However, this number may vary based on your experience and expertise in the field.
Top Frameworks used by Data Scientists
Many data scientists prefer to use frameworks to automate the process of collecting and analyzing the data. Some of the most popular frameworks among data scientists include:
- TensorFlow
- Keras
- Pandas
- PyTorch
- NumPy
- SeadBorn
- Theano
Prerequisite to Learn Data Science:
After knowing the possibilities in this field, you may want to pursue a career as a Data Scientist. However, data science requires some skills that you must have before getting started. These skills include statistics, machine learning, programming, mathematics, and databases. Once you have acquired all these skills, you can move forward to be a data science expert.
Where to Learn Data Science?
As mentioned earlier, data science is the fastest-growing field adopted by almost all sectors. Developing skills in this subject can help you get a highly paid job in no time. Many options are available to learn data science, such as books, videos, blogs, articles, and online courses. Taking an online course is the best way to learn data science as you learn under the guidance of an instructor and work on so many hands-on exercises that make you job-ready. This article mentions the 5 best data science courses online to help you master data science from the ground up. Let's explore these courses in detail.
5 Best
Data Science Certification
Courses in 2022:
This Course Includes:
- Duration: 11 months long course
- Contents: 10 courses • 4 hours/week
- Popularity: 2,24,153 students enrolled
- Ratings: 4.6 out of 5 (1,43,340 ratings)
- Certification: Available
- Level: Beginner
Coursera, being the best platform to learn technical and non-technical skills, presents this professional data science certification. This outstanding course will help you get started with data science by covering the fundamentals of data science and is undoubtedly the most recognized data science certification. During the course, you will learn data science and ML basics, moving forward to programming in Python, managing data with SQL, analyzing and visualizing the data while building machine learning models. The program includes the ten best data science courses to help you acquire your data science career goals.
The best undergraduate degree in data science is offered by IBM, a global leader in business transformation. There are ten courses in this certification. Different courses are taught by different instructors, each expert in their field. By getting enrolled in this program, you will be able to gain hands-on experience by working on some real-world examples and exercises. Recognizing it as the best data science course you will find on the Internet.
Things You'll Learn:
- Data Science
- Python Programming
- Data Analysis
- Pandas
- Numpy
- Ipython
- Cloud Databases
- Relational Database Management System (RDBMS)
- SQL
- Predictive Modelling
- Data Visualization (DataViz)
- Model Selection
Featured Review:
This course certainly made me put in the work!! The project requires a lot of planning to figure out exactly what you want to focus your analysis on. It definitely forced me to do a lot of self-learning in order to complete it. Stack Overflow became my best friend when I would get stuck and not know the proper python syntax to execute my desired outcome. Having to create a report and blogpost to document my analysis were definitely two new skill sets I appreciated that this course helped me to learn. – Nchedolisa S A
Best Features of This Course:
The most comprehensive & professional certification offered by the top tier institution like IBM
Working with real-world datasets of the SpaceX project in the Applied Data Science Capstone
Achievement of IBM digital badge upon successful completion of the course
Highly rated by the Platform students as well as other communities
Self-paced Learning Style
Affordable Pricing: $39.99/Mo
This Course Includes:
- Duration: 17 months long course
- Contents: 9 courses • 2-3 hours/week
- Popularity: Many students enrolled
- Topiify Ratings: 4.7 out of 5
- Certification: Available (Professional)
- Level: All Levels
Another best place to learn data science is edX which always offers some exclusive professional courses for young aspiring graduates. The course mentioned above is the foundational data science program to get started with it. It covers the R programming fundamentals moving slowly and gradually to advanced data science concepts, including real-world case studies. This professional certification offered by Harvard university includes many sub-courses to be completed in 1 year and 5 months. The courses in this program include:
- R Basics: Learn the fundamentals of R language and how to use it for analyzing and visualizing data
- Visualization: Covers data visualization principles
- Probability: Covers the theory of probability
- Inference and Modeling: Learn two of the widely used statistical tools
- Productivity Tools: Learn how to keep your projects organized using GitHub, RStudio, Unix/Linux
- Wrangling: Know how to convert raw data into meaningful formats for analysis
- Linear Regression: Covers the use of R to implement the most common statistical modeling approaches.
- Machine Learning: Apply whatever learned till now to a real-world project
The instructor of this course is Mr. Rafael Irizarry, a professor of Biostatistics at Harvard University. It would not be wrong to count this course in top data science courses as it will make you a data scientist undoubtedly.
Things You'll Learn:
- Fundamentals of R programming
- Statistical concepts
- Probability, inference, and modeling
- Applying statistical concepts
- Experience with the tidyverse
- Data visualization with ggplot2
- Data wrangling with dplyr
- Essential tools
- Unix/Linux
- Git and GitHub
- R Studio
- Implement machine learning algorithms
- In-depth knowledge through real-world case studies
Best Features of This Course:
Professional certification with world-class learning facilities (Accredited Worldwide)
Deep dive into data science fundamentals through real-world case studies
Dedicated capstone project on how to independently work on a data analysis project
Achievement of Professional Certificate from HarvardX
Highest rated Professional Certification Program on the internet.
Self-paced Learning Style
Expensive Pricing but worth it: $792.80
This Course Includes:
- Duration: 14 months long course
- Contents: 5 courses • 10-14 hours/week
- Popularity: Many students enrolled
- Topiify Ratings: 4.7 out of 5
- Certification: Available (Professional)
- Level: All Levels
EdX offers the best data science certifications to master the subject and this program is one of those. Starting from data science and machine learning fundamentals, this curriculum takes you to big data analysis, machine learning modeling, and becoming a data scientist, data analyst, BI analyst, or data engineer. During this program, you work on many hands-on and real-world exercises and apply different machine learning techniques. This way, you develop job-ready skills without getting out of your home and in the minimum time possible. This certification is divided into two modules:
First Module: This module has three courses, all are compulsory:
- Probability: The Science of Uncertainty and Data
- Fundamentals of Statistics
- Machine Learning with Python: from Linear Models to Deep Learning
Second Module: This module has two courses. You can choose anyone:
- Data Analysis in Social Science – Assessing your Knowledge
- Data Analysis: Statistical Modeling and Computation in Applications
This is indeed one of the best programs for data science which is offered by the Massachusetts Institute of Technology (MIT). It includes some sub-courses to be completed within 14 months. Different instructors design different programs in this most valued data science certification.
Things You'll Learn:
- Foundations of data science
- Core concepts of statistics, and machine learning
- Analyzing big data
- Data-driven predictions
- Probabilistic modeling
- Statistical inference
- Identify and deploy appropriate modeling and methodologies
- Develop and build machine learning algorithms
- Extract meaningful information from seemingly unstructured data
- Learn popular unsupervised learning methods
- Clustering methodologies and supervised methods
- Deep neural networks
Best Features of This Course:
Professional certification & facilities for Credit Pathways in listed universities (Accredited Worldwide)
Master the foundations of data science, statistics, and machine learning with a capstone exam
Have to choose 1 dedicated project to perform statistical analysis on real data
Achievement of MicroMasters Program Certificates from MIT
Top-rated Professional Certification in various course rating platforms
Self-paced Learning Style
Expensive Pricing but worth it: $1350
This Course Includes:
- Duration: 11 months long course
- Contents: 10 courses • 7 hours/week
- Popularity: 435,796 students enrolled
- Ratings: 4.5 out of 5 (37,106 ratings)
- Certification: Available
- Level: Beginner
This data science specialization is the best advanced data science course, available on Coursera. This course will help you master the data science concepts with the help of R programming to clean, analyze and visualize data. Including many data science projects, this curriculum explains how to manage your projects on GitHub while navigating you to regression analysis.
Without a doubt, this is another one of the best data science degrees offered by Johns Hopkins University includes ten sub-courses to take you from zero to hero in data science. The three best professors named Jeff Leek ( a Ph.D., associate professor, Biostatistics), Brian Caffo, and Roger D. Peng have designed this specialization. In the presence of so many resources, identifying which data science course is best could be difficult, so this course is your answer.
Things You'll Learn:
- GitHub
- Machine Learning
- R Programming
- Regression Analysis
- Data Science
- R studio
- Data Analysis
- Debugging
- Data Manipulation
- Regular Expression (REGEX)
- Data Cleansing
- Cluster Analysis
Featured Review:
This project was somewhat challenging, yet relevant with what came before it. Completion of all the ten courses was so much fun and definitely better than wasting money on a traditional education. I've learned way more from online educational platforms, in comparison with the traditional universities/colleges that I have attended. Thank you, this was so much fun. – Pouria T
Best Features of This Course:
Full support in creating a portfolio demonstrating their mastery of the specialization
Dedicated Capstone Project on building a data product using real-world datasets
Self-paced Learning Style
Affordable Pricing: $39.99/Mo
This Course Includes:
- Duration: 29.5 hours of video lessons
- Contents: 64 sections • 488 lectures
- Popularity: 486,847 students enrolled
- Ratings: 4.6 out of 5 (106,362 ratings)
- Certification: Available
- Level: All Levels
The comprehensive yet best course to become a data scientist offered by Udemy is what you must be looking for. Udemy has introduced this curriculum for absolute beginners having zero experience or knowledge regarding skills required to become a data scientist. This program will first teach you Mathematics, statistics, Python, advanced statistics in Python, machine learning, and deep learning. After taking this best data science course on Udemy, you will be able to impress the interviewers in different job roles for data scientists with your understanding of data science. It includes hands-on exercises for each topic you will cover during the course.
Designed by the number one best-selling course provider on Udemy, 365 Careers claims this course to be the most effective, time-efficient, and structured data science training course. To follow this program, you will need Anaconda IDE and MS Excel. You should consider taking one of the best courses on Udemy for data science if you are a beginner pursuing a career as a data scientist.
Things You’ll Learn:
- Understanding of the data science field
- Type of analysis
- Mathematics
- Statistics
- Python
- Applying advanced statistical techniques in Python
- Data Visualization
- Machine Learning
- Deep Learning
Featured Review:
AS always, 365 careers is fantastic. I loved the Deep Nets part mostly. However, some other popular Machine Learning techniques such as Random Forest Classification/Regression and Support Vector Machines/Regression should have been addressed. Having said that, it is still a very good course which covers almost everything. Thank you, 365 team, you all are simply the best. Janaki Mohapatra, India – Janaki Ballav Mohapatra
Best Features of This Course:
Full of super engaging & quality content with up-to-date course materials
Solve real-life business cases using Python, Tableau, Advanced Statistics & ML
Mastering all the knowledge to get hired as a data scientist in no time
Highly rated if you consider enrolling in traditional data science courses
Self-paced Learning Style
Affordable Pricing: $11.99
Final Notes:
Thank you for reading the article. If you liked the Information & recommendation regarding the top data science courses, please share them with your friends. After reading the whole article, you must be wondering which certification is best for data science? So, here is our recommendation:
- IBM Data Science Professional Certificate, the course offered by Coursera are the best as they help you build your skills in data science from beginner to advanced level.
- But if you want to be professional & serious about learning from top-tier institutions, Data Science Certification from Harvard University and MIT Data Science and Statistics Certificate both offered by edX, will be the best certifications for you with academic accreditation. But they are the most expensive certification out there.
- In case you want to start with a traditional popular course that is both beginner-friendly and packed with quality content, Udemy’s The Data Science Course 2022: Complete Data Science Bootcamp will be the best choice for you without a doubt.
Besides, if you are looking forward to being a machine learning expert to enhance your skills, check out our Top 5 Machine Learning Courses & Certifications in 2022. This will help you find the best online courses to learn machine learning. Thank you, and best of luck!
Let's COMPARE ALL Five COURSES⚖️
Courses
1. IBM Data Science Professional Certificate – Coursera
2. Data Science Certification from Harvard University – edX
3. MIT Data Science and Statistics Certificate – edX
4. Data Science Specialization from John Hopkins University – Coursera
5. The Data Science Course 2022: Complete Data Science Bootcamp – Udemy
platforms
Course Ratings
4.6
4.7
4.7
4.5
