Get Ahead in Data Science: Our Picks for the Best Data Science Courses in 2024

Are you looking to enhance your data science skills and land your dream job in the field? With so many data science courses available online, it can be challenging to decide which one is the best fit for you. In this article, we’ve compiled a list of the best data science courses that can help you achieve your career goals.

With technology advancing rapidly, the world is becoming more data-driven than ever before. In this new landscape, data science has emerged as one of the most prominent and sought-after skills for professionals across industries. From marketing companies looking to analyze customer behavior to healthcare industries using data for early-stage cancer prediction, to BFSI sectors wanting to reduce certain risks, everyone needs the expertise of skilled data scientists to extract valuable insights from data and solve their problems.

But how can you become a data scientist? Which courses are the best? And how do you choose the right one? 

In this article, we will help you navigate through the sea of options and showcase the best data science courses available, suitable for beginners to advanced learners.

Must Read: Top 10 Data Scientists Skills to Learn in 2024

So, let’s dive into the world of data science and take your skills to the next level!

Table of Content

• Why do we need a Data Science Course
• How to select a Data Science course
• What are the Best Data Science Courses
• Types of Data Science Courses

Why do we need a Data Science Course?

• Data Science is an interdisciplinary field that deals with extracting insights and knowledge from data using techniques such as statistical analysis, data mining, machine learning, and visualization.
• Data Science courses can help individuals acquire the necessary skills and knowledge to analyze and interpret large sets of data and make informed decisions.

Must Check: Top Data Science Career Opportunities

How to select a Data Science course?

Selecting the best data science course from the ocean of the available course is always a hectic process. Here are some important things that you have to keep in mind while choosing the course for you.

Parameters	Description
Goal	Determine what you want to achieve from the course, i.e., do you want to learn the basics, or do you want to specialize in any specific area such as data visualization (Tableau, PowerBI), programming (Python, SQL) machine learning?
Research Course Options	Look for data science courses on the platforms such as Coursera, Udemy, edX, GreatLearning, etc.
Check the Syllabus and Course Content	Review the course syllabus to ensure that it covers the topics you want to learn. Consider the course format that best works for you, whether it’s self-paced, instructor-led, duration, and the time commitment required.
Instructor	Check the instructor’s background and experience of the instructor in the data science field. Look for an instructor who has an on-hand and a reputation for teaching data science content effectively.
Course Reviews	Must check the reviews of the course that are given by previous students to get an idea of the course quality.
Cost	Select the course that will be your pocket-friendly, i.e., whether the investment is worth your learning and career.

Must Check: Top Free Online Data Science Courses and Certifications in 2023

What are the Best Data Science Courses?

Here, is the list of the Best Data Science Courses, that you can take to enhance your skills.

IBM Data Science Professional Certificate – Coursera

There are ten courses in this professional certificate. The course starts with an overview of what data science is like today. After that, it will cover some popular data science tools -how to use them and what are their features. It will briefly cover Python and SQL, followed by the classes of Machine Learning with the Capstone Projects.

What you’ll learn

1. Describe what is Data Science, the various activities of a data scientist’s job, and the methodology to think and work like a data scientist.

2. Hands-on skills using the tools, languages, and libraries used by professionals.

3. How to import and clean data sets, analyze and visualize data, and build and evaluate machine learning models and pipelines using Python.

4. At the end of the course, you will have to complete a project using a real-world dataset using the technique, skills, and tools you learned.

Key Highlights

• Rating: 4.6/5
• Level: Beginner Friendly (No Prior Experience Required)
• Duration: 5 Months ( At least 3 hours of Study a Week)
• Tools: Jupyter /JupyterLab, GitHub, R Studio, and Watson Studio
• Libraries: Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, SciPy, etc.
• Skills: Data Analysis, Data Science, Machine Learning, Big Data, Data Mining, Python, SQL.

Enroll Now: IBM Data Science Professional Certificate – Coursera

The Data Science Course: Complete Data Science Bootcamp – Udemy

The course is divided into 7 parts (65 sections) that consist of 517 lectures. Course starts with a formal introduction to data science (discussing various data science disciplines, popular data science tools, and careers in data science). The course briefly covers Mathematics, Statistics, Probability, Python, Machine Learning, and Deep Learning. At the end of every part, there are ample examples for your practice, and once you complete the Bootcamp there are capstone projects that will help you to build your portfolio.

What you’ll learn

1. The course provides the entire toolbox you need to become a data scientist.

2. Learn data science skills: Statistical Analysis, Python programming with NumPy, pandas, matplotlib, seaborn, tableau, and TensorFlow.

3. Learn how to use it for statistical analysis, and how to pre-process the data.

4. Be able to create machine learning algorithms in python, using numpy, statsmodels, and scikit-learn.
5. Understand the mathematics behind machine learning and improve machine learning algorithms by studying underfitting, overfitting, training, n-fold cross-validation, testing, and how hyperparameters could improve performance.

Key Highlights

• Rating: 4.6/5
• Level: Beginner and Intermediate
• Duration: 32 Hours (Self-Paced)
• Fee: Rs 499 Only
• Skills: Mathematics, Statistics, Probability, Python, Machine Learning, and Deep Learning

Enroll Now: The Data Science Course: Complete Data Science Bootcamp – Udemy

MicroMaster Program in Statistics and Data Science

The MicroMasters program in Statistics and Data Science is developed by MITx and MIT Institute for Data, Systems, and Society. It is a multi-disciplinary approach comprised of four online coursed and a virtually proctored exam that will provide you with the fundamental knowledge of methods and tools used in Data Science. Once you complete the course you will have an infinite connection account on the MIT Alumni Association Website, and access to the online directory and journals available through JSTOR and EBSCO.

Key Highlight

• Rating: 4.0/5
• Level: Beginner, and Intermediate
• Duration: Self-Paced (Have to give Capstone Exam to get the Certificate)
• Fee: $7500
• Skills: Fundamental of Statistics, Probability, and Machine Learning with Python: From Linear Models to Deep Learning

Enroll Now: MicroMaster Program in Statistics and Data Science

Executive Post Graduate Programme in Data Science – upGrad

The course is offered in collaboration with IIIT Bangalore. It provides five specializations (Deep Learning, NLP, Business Analytics, Business Intelligence/Data Analytics, and Data Engineering). It includes Programming in Python, EDA, Statistics, and Advanced SQL.  The course comes with the benefits of High-Performance Coaching (1:1), Career Mentorship Sessions, 24*7 student support, and personalized industry sessions. You can take admission by passing the Diploma Qualifier Exam. 

Key Highlight

• Rating: 4.6/5
• Level: Beginner Friendly
• Duration: 12 Months
• Fee: 6736/month
• Programming Languages and Tools: Python, SQL, Excel, Tableau, Spark, Hadoop, Hive, PowerBI, MongoDB, Keras, TensorFlow, Apache, OpenCV, and Kafka.

Enroll Now: Executive Post Graduate Programme in Data Science – upGrad

Diploma in Data Science – IIT Madras

There are eight courses, including hands-on training through labs and projects. The diploma includes mathematics, statistics, machine learning and business analytics courses. You can take admission by passing the Diploma Qualifier Exam. 

Key Highlights

• Rating: 4.5/5
• Level: Beginner Friendly (Anyone who has at least two years of any UG education).
• Duration: 12 Months
• Fee: Rs. 70,500 (up to 75% fee waiver available)
• Skills: Predictive Analytics, Business Analytics, Machine Learning Techniques, Statistical Modelling, Python Programming, Data Visualization Tools, and Libraries like Scikit-learn and TensorFlow.

Enroll Now: Diploma in Data Science – IIT Madras

Types of Data Science Courses

There are several types of courses available, that are broadly classified into: Online Courses, University Courses, Bootcamp, and Specialization Courses.

Types of Data Science Courses	Course Name	Level	Course Provider
Online	1. Data Science Essentials 2. Introduction to Data Science in Python 3. Data Science Methodology 4. Advanced Data Science with IBM	1. Beginner 2. Beginner 3. Intermediate 4. Advanced	1. IBM 2. Coursera 3. IBM 4. IBM
University	1. Introduction to Data Science 2. Applied Data Science with Python 3. Data Science Specialization	1. Beginner 2. Intermediate 3. Intermediate to Advanced	1. Harvard University 2. University of Michigan 3. Johns Hopkins University
Bootcamp	1. Data Science Bootcamp 2. Data Science Career Track 3. Data Science Engineering Bootcamp	1. Intermediate 2. Intermediate 3. Advanced	1. NYC Data Science Bootcamp 2. Springboard 3. Metis
Specialization	1. Data Science Specialization 2. Applied Data Science with Python Specialization 3. Statistics with R 4. Deep Learning Specialization	1. Beginner to Advanced 2. Intermediate 3. Intermediate 4. Advanced	1. Johns Hopkins University 2. University of Michigan 3. Duke University 4. Deelearning.ai

Conclusion

In conclusion, finding the best data science course is crucial to achieving success in the rapidly growing field. With so many options available, it can be challenging to determine which courses will provide the most value.
In this article, we have discussed why to choose data science as a skill, how to choose the best data science course, and finally, we have listed the best data science course for you.
Keep Learning!!
Happy Learning!!