What is data scientist?

A data scientist is a professional who uses their expertise in data analysis, statistics, programming, and domain knowledge to extract valuable insights and knowledge from large and complex datasets. They play a crucial role in helping organizations make data-driven decisions, solve problems, and uncover patterns and trends that can drive business growth or inform research.

Top 9 Online Data Science Courses

While curating the list of best data science courses for 2023, a number of factors/aspects were taken into consideration, including:

• Syllabus Covered

The list is prepared considering the scope of the syllabus and how well it has been designed to accommodate different expertise levels.

• Course Highlights & Outcomes

We have also talked about the outcomes of the courses and other features, including placement assistance, hands-on projects, etc., that will help students acquire marketable skills.

• Course Duration

We have determined how long each course will last.

• Skills Required

We have discussed the prerequisite skills that candidates need to possess to enroll in the course.

• Course Fees

All of the courses are ranked according to their features and fees to make sure you get the most bang for your buck.

Following is a list of the top data science courses, certifications, and programs you can pursue in 2023 to upskill yourself and get a data scientist job. This list includes both free and paid online certificate programs that have been widely acclaimed and used by thousands of students and professionals.

1.Data Science and Machine Learning Program by Scaler

• This program is designed to provide a comprehensive understanding of data science and machine learning.
• It covers a wide range of topics including statistics, Python programming, data visualization, machine learning algorithms, and more.
• Scaler is known for its hands-on approach with real-world projects and mentorship.

2.IBM Data Science Professional Certificate

• Offered by IBM on platforms like Coursera, this certificate program focuses on data science using IBM tools and platforms.
• It covers topics such as data analysis, machine learning, data visualization, and big data tools like Spark and Hadoop.
• Learners gain practical experience through hands-on projects.

3.Advanced Program in Data Science by IIM Calcutta

• This program is offered by one of India’s top business schools, IIM Calcutta, in collaboration with Eruditus.
• It provides a deep dive into data science and analytics, emphasizing both theoretical and practical aspects.
• The curriculum includes topics like machine learning, deep learning, data engineering, and business analytics.

4.Professional Certificate in Data Science from Harvard University

• Harvard’s program on edX offers a professional certificate in data science.
• It covers essential data science concepts, programming in R and Python, data visualization, and statistical analysis.
• Learners work on case studies and projects to apply their knowledge.

5.Data Science Specialization from Johns Hopkins University

• This specialization on Coursera consists of multiple courses focusing on data science using R.
• It covers data cleaning, exploratory data analysis, statistical inference, machine learning, and more.
• Students complete a capstone project to showcase their skills.

6.MicroMasters Program in Statistics and Data Science from MIT

• Offered on edX, this program provides a rigorous foundation in statistics and data science.
• Topics include probability, statistical inference, machine learning, and data analysis using R and Python.
• Successful completion can lead to credit toward a full master’s degree.

7.Data Science with R and Python

• This course likely covers data science using both R and Python, two popular programming languages for data analysis.
• Students will learn data manipulation, visualization, statistical analysis, and machine learning with practical coding examples.

8.Python for Data Science and Machine Learning Bootcamp

• This bootcamp-style course is designed to teach Python specifically for data science and machine learning.
• Topics include Python programming, data analysis libraries (e.g., Pandas, NumPy), data visualization, and machine learning with practical coding exercises.

9.Machine Learning, Data Science, and Deep Learning with Python

• This course may provide a comprehensive overview of data science, machine learning, and deep learning using Python.
• Topics covered likely include data preprocessing, machine learning algorithms, neural networks, and deep learning frameworks like TensorFlow and Keras.

Conclusion

In conclusion, there are various online data science courses available, catering to different skill levels and preferences. When choosing a course, consider factors such as your current knowledge, the programming language you prefer, the level of hands-on practice you want, and any specific tools or platforms you want to learn. Ultimately, the best course for you will depend on your individual goals and learning style.

FAQs

1.What are the best data science courses offered by data scientists?

The best data science courses often come from experienced data scientists who have practical knowledge in the field. Some popular ones include courses on platforms like Coursera, edX, and Udacity.

2.Are there any free data science courses offered by data scientists?

Yes, there are free data science courses available, often in the form of MOOCs (Massive Open Online Courses). Many data scientists and universities offer free courses on platforms like Coursera and edX. However, certification may require a fee.

3.What is the typical duration of a data science course offered by data scientists?

The duration of data science courses can vary widely. Some are short, focused courses that can be completed in a few weeks, while others are more comprehensive and can take several months or even a year to complete.

4.Do these courses offer certificates or degrees?

Many data science courses offer certificates upon completion, which can be a valuable credential to showcase your skills to employers. Some programs also offer degree options, such as Master’s in Data Science.

5.What topics are typically covered in data science courses by data scientists?

Data science courses cover a range of topics, including data analysis, statistics, machine learning, data visualization, and programming languages like Python and R. They may also delve into specialized areas like deep learning, natural language processing, or big data technologies.