Dive into the world of data science with our comprehensive guide to the best courses in 2024!

Going on a trip into the ever-changing world of data science is an exciting idea, especially in the year 2024. Since there is a huge need for skilled data scientists, it is important to keep up with the newest and best classes. This guide looks at the best 16 data science classes for people of all skill levels, from beginners who want to start a job to seasoned pros who want to improve their skills. Also, read From Harvard to MIT : 10 Free University Courses to Launch Your Data Science

1. [Udemy] The Data Science Course: Complete Data Science Bootcamp

The Udemy Data Science Course is at the top of our list. It’s a full training made by the 365 Careers Team. This 31-hour course is great for people who are just starting because it covers important topics like math, statistics, data visualisation, machine learning, and Python programming. It gives people who want to become data scientists a strong base with real-life case studies, a lively group, and active Q&A help.

2. [Coursera] Data Science Specialization

Learn more about the well-known Specialisation in Data Science on Coursera, which was created by teachers from Johns Hopkins University. This free course with a certificate choice lasts from 3 to 6 months and has 10 classes with more than 280 hours of material. It goes over how to use R and GitHub, how to get data, statistical reasoning, regression models, machine learning, and how to do a final project with real-world data sets.

3. [DataCamp] Introduction to Data Science in Python

If you want to learn more about data science, Hillary Green-Lerman’s DataCamp course is a short 4-hour introduction to Python-based data science. As an engineering manager at Google, Green-Lerman’s course is easy for beginners to understand because it focuses on the basics of Python, adding data with Pandas, and making plots with Matplotlib. Great for a quick look around before committing to longer classes.

4. [Coursera] The Basics of Data Science with Python and SQL

This Coursera course is taught by top data scientists from IBM and gives students a chance to work on advanced data science projects. The 48-hour course covers Jupyter Notebooks, Python for data science, statistical analysis, and SQL for data science. It also includes real-world data sets that can be used right away.

5. [edX] Harvard Professional Certificate in Data Science

There is a Harvard Professional Certificate in Data Science on edX that you can start right away. It takes one year and five months to complete. Rafael Irizarry, the teacher, leads students through R code, data visualisation, bayesian statistics, probability, data handling, linear regression, machine learning, and a final capstone project. This gives students a well-rounded education.

6. [Udemy] Data Science A-Z: Hands-On Exercises and ChatGPT Bonus

This Udemy course stands out because it focuses on data visualisation, modelling, data preparation, and communication. It was made by Kirill Eremenko, who used to work at Deloitte. It teaches communication skills, data mining with Tableau, linear and logistic regression, and takes a whole-person approach to data science by simulating real-life business situations.

7. [Educative] Grokking Data Science

The How to Understand Data Science course by Samia Khalid on Educative is perfect for people who like to learn through reading. This course covers Python, data visualisation, statistics, machine learning methods, and a machine learning project from start to finish. It also has practice quizzes and tasks.

8. [Udacity] Data Science Nanodegree Program

The Data Science Nanodegree programme at Udacity is taught by teachers from Google and Netflix. Students learn natural language processing, data transformation, model building, and software engineering skills through hands-on activities. It gives you real-world experience for building a strong portfolio through projects like a suggestion engine and an emergency reaction chain.

9. [Turing College] Data Science Career Program

Turing College has a one-of-a-kind data science course that focuses on deep learning. This programme helps people find jobs (96% success rate), gives them one-on-one mentoring, helps them prepare for interviews, and helps them find jobs. Great for people who want a complete, industry-focused experience.

10.  [StackSocial] The A to Z Data Science & Machine Learning Bundle

StackSocial offers a set of seven classes that cover Python, R, NumPy, Pandas, statistics, probability, and deep learning with Keras. This gives you a lot of options. The course has 55.5 hours of material and real projects, so it’s good for beginners who want to make their learning path.

11. [LinkedIn Learning] Data Science Foundations

The Data Science Foundations course on LinkedIn Learning is taught by Barton Poulson and covers data literacy, controlled and unstructured learning, maths for data science, and social issues. It’s good for beginners because it has short lessons, quizzes, and a focus on decently using data.

12. [Simplilearn] IBM Data Scientist Program

Live online lessons, hackathons, and workshops are all part of Simplilearn’s programme, which works with IBM. It is taught by top data scientists from IBM and covers controlled and unsupervised learning, hypothesis testing, data mining, grouping, and using different data science tools in real life.

13. [Springboard] Data Science Prep Course

The 11-hour Simplilearn Data Science Full Course 2024 can be watched for free on YouTube and gives a broad review. It’s a great resource for people who are just starting with AI, machine learning, deep learning, and important tools like TensorFlow, Numpy, Scipy, and Matplotlib.

14. [Edureka!] Data Science for Beginners

That’s it! Data Science for Beginners: “Data Science for Beginners,” an 11-hour free training on YouTube by Edureka!, goes over basic ideas like the confusion matrix, Bayes’ theorem, regression, KNN algorithms, decision tree algorithms, and TensorFlow topics. It has parts on use cases, how to prepare for interviews, and how to make a resume for a data science job.

15. [Codecademy] Data Science Foundations

Codecademy’s Data Science Foundations course is the last one on our list. It’s a 16-week programme that teaches you how to use Python tools like Pandas and Matplotlib and how to read and understand data. It is great for hands-on learners because it is project-based and has 34 mini-projects and two big showcase projects.

How to Pick the Best 2024 Data Science Course?

When looking for the best data science school, it’s important to look at things like licensing, recognition, content, practical activities, teacher knowledge, and reviews from past students. Choose classes that will help you reach your learning goals and give you a mix of theory and practice.

How do I become a data scientist? Do I need to know about AI?

As artificial intelligence (AI) and data science continue to merge, it becomes more and more important for data scientists to have a basic understanding of AI, especially machine learning techniques. Deep AI skills aren’t necessary for every job, but having them lets you automate tasks, improve models, and apply new solutions.

Wrapping Up

In 2024, it’s important to know what AI is doing in data science. Experts in the field will talk about how the link between data science and AI is changing at DataCamp’s RADAR meeting in March 2024. Starting a career in data science in 2024 will open up a world of possibilities, and choosing the right path can have a big effect on your success. The classes listed can be modified to fit your needs and skill level, whether you’re looking for an all-around exercise, a programme to specialise in something or a more general introduction. Start, make a smart choice, and dive into the world of data science, which can change everything.

Read more

10 Simple Big Data Projects to Stand Out Globally

GATE 2024 Introduces Data Science and Artificial Intelligence

Tanu Bhatnagar

Meet Tanu Bhatnagar, an educational expert with extensive experience in teaching, research and mentoring.With a decade in... (Full bio)