Data science combines programming, statistics, and domain expertise to solve complex problems and extract insights from data. It’s essential for organizations to make informed decisions, improve products, and innovate.
The importance of data science lies in its ability to help organizations make informed decisions, improve products and services, and create innovative solutions. The benefits of learning data science include increased job opportunities, career advancement, and the ability to solve complex problems using data-driven insights.
This article reviews the best data science courses for 2023, with options for beginners, intermediates, and advanced learners. Whether you’re starting or upskilling, find the right course to advance your skills and career!
List of Top Data Science Courses to Learn Online
Investing in one of the top-rated data science courses can turn your career around. To make the process convenient for you, we have presented you with a selection of six highly recommended courses:
- Data Science Essentials – This top-rated course provides an introduction to data science concepts and tools, covering topics like data visualization and analysis using R.
- Applied Data Science with Python – This program teaches how to use Python for data analysis and visualization, covering topics like machine learning and data cleaning.
- Data Science with Python – This course covers the basics of Python programming and how to use it for data science projects, including data analysis and visualization.
- Data Analysis with Excel – This program teaches how to use Excel for data analysis, covering topics like data cleaning and visualization.
- Python for Data Science– This course covers Python libraries for data analysis, data visualization, machine learning, and deep learning, with hands-on projects.
- Data Science A-Z– This program covers data science essentials such as data preprocessing, data visualization, machine learning, and deep learning with real-life projects.
Our Criteria To Choose the Best Data Science Courses and classes
- Eligibility Criteria: When selecting the best course for data science, we looked for programs accessible to a wide range of learners, regardless of their educational or professional background.
- Course Curriculum: We evaluated the course curriculum to ensure it covered a broad range of topics and was up-to-date with industry trends and technologies.
- Teaching Methodologies: We assessed the teaching methodologies used by each course, including the quality of online resources, live sessions, and hands-on projects.
- The reputation of the Course: We looked for courses with a proven track record of success, including positive reviews and ratings from previous students.
- Instructors Rating: We considered the instructors’ quality and ratings when selecting data science courses. We looked for courses with experienced instructors with a deep understanding of data science and a passion for teaching.
- Cost: We looked for courses that offered value for money and were affordable for many learners.
- Job Placement: We looked for courses that offered job placement assistance, career counseling, and networking opportunities to help learners succeed in their data science careers.
- Career Support: Finally, we evaluated the career support offered by each course, including access to mentors, career counseling, and networking opportunities.
Detailed Review of Top Notch Courses for Data Science
Coursera’s Data Science Essentials course is a 4 monthly long course perfect for beginners who want to dip their toes into the world of data science. Plus, you can take the course online from the comfort of your own home.
During the course, you’ll learn about important concepts from global program instructor Raj Ahuj who is the instructor for the Databases & SQL for Data Science course.You will get hands-on experience while working with a variety of data sources, project scenarios, and data analysis tools, including Excel, SQL, Python, Jupyter Notebooks, and Cognos Analytics.
You will also gain practical experience with data manipulation and applying analytical techniques, and you will get to apply what you learn and really get a feel for the concepts! And when you complete the course, you’ll even get a certificate to show off your new skills at just $49 per month!
With an overall rating of 4.6/5, the course provides a portfolio to begin a career as an associate or junior data analyst. So why not give it a try? Who knows, you might just discover a new passion for data science!
The Applied Data Science with Python course will help take your data science skills to the next level. This course is aimed at students who already have some experience in data science and want to advance their knowledge in the field.
The course is delivered entirely online and covers advanced topics such as machine learning, data analysis, and data visualization using Python. The content is comprehensive and provides a deep understanding of the subject matter, and the practical exercises included give students the opportunity to gain hands-on experience.
Upon completion of the course, students receive a certificate, which can be a valuable addition to their resume. And at just $49 per month, the course is affordable and offers excellent value for money. The instructor Christopher Brooke for this course is from IBM and has experience teaching, so you can rest assured that you’re learning from a knowledgeable expert.
The Applied Data Science with Python course on Coursera is a fantastic choice for students who want to take their data science skills to the next level.
While the course does not offer certification upon completion, it still provides valuable knowledge and skills, which consist of loading data and performing exploratory data analysis and visualizations that can be applied to various data science projects in only 7 hours.
This program could be just what you need if you want to learn data science with Python. Designed for beginners, this online course covers the basics of data manipulation, visualization, and machine learning using Python.
The instructor for this course, Jesper Dramecsh from the University of Michigan, is known for his engaging and clear delivery of the content and student reviews for this course are generally positive, with many commenting on how helpful and informative the course was in their journey to learn data science with Python.The pricing is also quite reasonable, with options for $19 per month or $99 per year, making it a good value for money.
If you’re a beginner looking to dip your toes into data science with Python, this course on Skillshare could be a great place to start!
Skillshare’s “Data Science Fundamentals” course is a great option for both beginners and advanced-level students. The course is structured into 13 well-organized lessons, each ranging from 10 to 40 minutes in length, covering a wide range of topics such as data preprocessing, exploratory data analysis, statistical inference, and machine learning.
The course includes practical exercises in each lesson for hands-on experience, and upon completion, students receive a certificate of completion. In this course you will develop a good understanding of tools such as SQL, SSIS, Tableau, and Gretl.
The instructor Krill Eremenko for this course is a data scientist with years of experience in the field and offers clear and concise explanations and provides additional resources for further learning. The time duration is flexible, and the course is reasonably priced at $19/month for a Skillshare membership or $32 for access to this specific course
Enroll now and take your first step toward becoming a data scientist.
“Python for Data Science and Machine Learning course” by Jose Portilla provides learning data science and machine learning with Python.
This course is great for beginners, with a rating of 4.8 out of 5. It’s delivered entirely online with a mix of video lectures, quizzes, and practical exercises to help you master the concepts. You’ll get to work on exciting real-world projects like predicting house prices, analyzing customer demographics, and building recommendation systems.
On completion of the course, you’ll receive a certificate that you can use to showcase your skills and knowledge. It takes around 24 hours to complete, and the course costs $139.99, but it’s often on sale at a lower price, making it an excellent value for money. Jose Portilla is an experienced data scientist and instructor who has taught over 300,000 students on Udemy.
If you want to learn data science and machine learning with Python, this course is worth considering. Who knows, maybe it could even help you kickstart your career in data science!
“Data Science A-Z™: Real-Life Data Science Exercises Included” by Kirill Eremenko and the SuperDataScience Team course is perfect for both beginners and advanced-level students who want to learn about data science.
The course is delivered entirely online with video lectures, quizzes, and practical exercises. It covers a wide range of topics, including data preprocessing, data visualization, machine learning courses, deep learning, and natural language processing. Our rating for this course is 4.5 out of 5, which shows how great this course is.
On completion of the course, students will receive a certificate of completion, which is always a great bonus. The course takes around 23.5 hours to complete, and costs $199.99, but it’s often on sale at a lower price. The instructor, Kirill Eremenko is an experienced data scientist and instructor who has taught over 1 million students on Udemy.
So, if you’re looking for a comprehensive data science course, “Data Science A-Z™: Real-Life Data Science Exercises Included” is a fantastic choice.
Best Data Science Courses – FAQs
How Much Does a Data Science Course Cost?
The cost of a data science course can vary widely depending on the course provider, the level of the course, and the duration. The MS in Data Science program fees can range between $ 21,000 and $75,000 per annum. It’s important to research and compares prices to find the best value for your budget.
How Long Are Data Science Courses?
The length of data science courses varies based on the depth of their content. Some courses can be completed in a matter of weeks, while others can take months or even a year.
Can I Learn Data Science Courses in 3 Months?
Yes, it is possible to learn the basics of data science in three months, but becoming proficient in the field takes time and practice. It is important to choose a course that provides a comprehensive curriculum and hands-on experience to gain practical skills. Additionally, continuous learning and practice are essential for mastering data science.
If you want to advance your career in data science, enrolling in one of the best data science courses and top data science bootcamps can be an excellent option to gain essential skills and knowledge.
Data science is an exciting field with limitless potential, and learning online can be an excellent way to advance your career. The courses we have reviewed provide comprehensive instruction, flexible schedules, and career support, making them ideal for learners at all levels.
Whether you are a beginner or an experienced professional, you can find a data science course in the above-mentioned
list that suits your needs and budget. These courses cover various topics, including data analysis, machine learning, and programming, and use various teaching methods, such as live sessions, hands-on projects, and online resources.
By taking one of these top courses to learn data science online, you can gain the skills and knowledge you need to succeed in this exciting and lucrative field. With the high demand for data scientists and excellent job prospects, learning data science is an investment in your future career and earning potential.