Hi everyone, I am a software engineering and i work as a software developer and i wnat switch my domain in the Data Scientist field.  I have observed that many SD professionals have changed as well due to recent changes in the industry.

I am looking for the best data science courses that are well structured and that you actually found useful. So far i have been self learning on youtube and it is getting difficult and time consuming and does not cover the topics in detail and they dont offer project work too.

I want a course which has projects too as it would add value in my resume when i look for Data Science jobs. If anyone has taken a course or knows of one that would be useful, Id love to hear your suggestion I just want something practical and easy to follow

Hello, I'm looking for the best data science courses for beginners, all the way to intermediate/advanced levels, with Python. I have no problem with the course including AI/ML or any extra material. Websites like Udemy, Coursera, etc. No problem with paid courses.

Thank you for your help.

Welcome to this week's entering & transitioning thread! This thread is for any questions about getting started, studying, or transitioning into the data science field. Topics include:

• Learning resources (e.g. books, tutorials, videos)

• Traditional education (e.g. schools, degrees, electives)

• Alternative education (e.g. online courses, bootcamps)

• Job search questions (e.g. resumes, applying, career prospects)

• Elementary questions (e.g. where to start, what next)

While you wait for answers from the community, check out the FAQ and Resources pages on our wiki. You can also search for answers in past weekly threads.

I worked as a web programmer in the past (PHP, Javascript, SQL).

Now I am a PhD student in Psychology.

I like Data Science very much and I am trying to learn Excel, R, Python, and Matlab, but to understand how these algorithms work I would also need some Math knowledge.

A few decades ago, I studied Calculus in high school which I have almost completely forgotten, but never Linear Algebra, and I passed a few exams in Statistics.

Since English is not my first language, what (video) course would you suggest to learn Data Science, including Calculus and Linear Algebra, which is not too complex to understand, not too long, and not very expensive?

Thank you very much!

I need a certificate to change my career. Now I am a mechanical engineer

If the online courses are held by famous college is even better

I'm a beginner in data science, Can someone recommend some good Data Science courses?

It's a terrific moment to become a data scientist, with a booming employment market, a high salary, and exciting career options. But what if you have nothing to work with? Fortunately, there are many distinct learning avenues. From earning a college degree to enrolling in bootcamps to teaching yourself, there are several ways to acquire the necessary data science skills. Don't know where to begin? You can register in the most comprehensive data science course in Chennai, if you want to learn via online training.

In this article, I’ll teach you how to advance from being a beginner to being prepared for employment in the field of data science and AI.

Why Choose Data Science?

Today, since businesses have started to recognize the value of data, data science has become more prominent in the IT sector. For today's expanding enterprises, successfully sourcing and processing data is essential. Hence, data scientists are used by businesses to produce insights that can help them outsmart the competition and increase profits.

What Do Data Scientists Really Do?

Data scientists use data to produce insightful conclusions. Upper management is guided by these insights while making company decisions.

The gathering and preparation of data is the first step in data science. The latter is required since data does not initially arrive in an easily-analyzed form when sourced. Missing entries, damaged volumes, etc., are typical. Data cleaning is done by data scientists using engineering and statistical techniques.

Following that, they perform an exploratory data analysis (EDA) to search for patterns in the data. Data scientists accomplish this by developing models and designing algorithms that can be used to conduct experiments on datasets and produce insightful results.

Learn Data Science From Scratch

Step 1 – Build a Solid Basis in Math and Statistics

Math is a fundamental part of data science and will provide you with a solid theoretical grounding in the area, just like in many other scientific disciplines.

Probability and statistics are the most crucial concepts to understand in data science. The majority of the models and algorithms that data scientists create are just programmatic adaptations of statistical methods for solving problems.

Start with online courses if you have never studied statistics or probability. Take advantage of this chance to brush up on fundamental concepts like variance, correlations, conditional probabilities, and Bayes' theorem. By doing this, you will be well-positioned to comprehend how those ideas apply to the job you will conduct as a data scientist.

Step – 2 Learn to Program With Python and R

If you're comfortable with the mathematical ideas you'll need, you should learn how to program to translate your math expertise into scalable computer programs. It's a good idea to start with Python and R since they are the two most often used programming languages in data research.

For several reasons, Python and R are excellent beginning points. Because they are open-source and cost nothing, anyone can learn to program in them. Linux, Windows, and macOS all supported programming in both languages. Most importantly, these languages include user-friendly libraries and syntax that are good for beginners.

Step – 3 Learning About Databases

Data scientists require a working knowledge of databases to access the data they are using and preserve it after processing.

SQL, or Structured Query Language, is one of the most frequently used database query languages. Create new data, update existing data, and create tables and views. Big data solutions like Hadoop have the extra advantage of extensions enabling SQL queries. These are seven websites that will help you learn big data quickly.

Step 4 – Learn about data analysis techniques.

You can analyze a dataset using a variety of techniques. You'll use a particular strategy depending on the problem you're trying to answer and the type of data you're using. It is the responsibility of a data scientist to have the foresight necessary to know which approach would be most effective in solving a given issue.

In the sector, a few data analysis methods are frequently utilized. Regression, time series, cohort, and cluster analyses are included. The common data analysis methods are described in detail in this post.

Step 5 – Learning, Practicing and Repeating

You can begin working on starter projects once you have mastered data analysis techniques.

But keep in mind that having a solid grasp of everything you've learned up to this point is more crucial than having a general awareness of various subjects. To ensure you understand the material you are studying, try to implement them.

For example, Imagine that you are learning about the concept of a weighted mean. Don't only focus on understanding the definition. Try writing a Python program to determine a dataset's weighted mean. Gaining a thorough knowledge of the concepts you learn through active learning. If you’re learning from scratch, Learnbay’s data science certification course in Chennai is the best place to gain hands-on experience with the latest technologies in the real world. Visit the site for more information about the course.

I am from a software development background. I need to change my domain to Data Scientist roles. Right now, many software development professionals are changing their domain to Data Science. Self-learning from YouTube, etc., is very difficult as it's not structured and it's not covering the topics in depth. Also, I heard that project work is also important to showcase in a resume to switch to Data Scientist roles.

So, I am looking for the Best Data Science Courses Paid ones which cover complete topics in depth with hands-on project work. I found some of them after searching like Upgrad , LogicMojo Data Science , GreatLearning, ExcelR data science etc.
Please share your recommendations if anyone has prepared from any such courses

I'm currently a CodeAcademy user, but I'm scared it won't get me job ready based on the reviews I've read. I do like that its data science career path has both Python, SQL, and relevent mathematics as part of their cirricula.

I looked at Data Camp's data science course with Python, and it seems intriguing given it's assignments and projects, but I dislike that you don't learn SQL in it.

One other online program that really stands out is Udemy's "The Data Science Course: Complete Data Science Bootcamp". Although they don't teach you SQL, it seems like it would include more than CodeAcademy's cirricula and they are heavier on the math. One draw back is they don't seem to have projects along the way, like the other ones i've mentioned. . .

Any idea which one I should go for that will get me closest to job-ready? I want to be as efficient as possible with my time. Other reccomendations would be appreciated as well.

Thank you!

I’ve been thinking about getting into data science, but I’m not sure which course is actually worth taking. I want something that covers Python, statistics, and real-world projects so I can actually build a portfolio. I’m not trying to spend a fortune, but I do want something that’s structured enough to stay motivated and learn properly.

I checked out a few free YouTube tutorials, but they felt too scattered to really follow.

What’s the best data science course you’d recommend for someone trying to learn from scratch and actually get job-ready skills?

Hello I have a degree in physics and I want to learn data science is it still worth it in 2023 can I find a job after I finish my studies or this field is dying?!

Hey everyone,

I recently graduated with a degree in Data Science and I’m looking to strengthen my resume with some valuable certifications and courses. My main goal is to stand out in the industry and demonstrate practical skills that employers look for in data scientists, machine learning engineers, or AI specialists.

Would love to hear from experienced professionals!
👉 Which certifications helped you land a job?
👉 Are there any must-have courses that provide real-world skills?
👉 Should I focus more on AWS/GCP certifications or general ML/AI specializations?

Any advice would be greatly appreciated! Thanks in advance 🙌

Hey everyone,

I’m just starting out in Data Science and I feel a bit overwhelmed. There are so many resources, bootcamps, YouTube playlists, and courses out there that I don’t know where to begin.

My main goal is to build a solid foundation first and then go deeper into the more advanced stuff like machine learning. I’ve seen courses like the IBM Data Science Professional Certificate on Coursera, 365 Careers on Udemy, Krish Naik’s content, CampusX’s 100 Days of ML, and many more. But I’m not sure which ones are actually worth my time and will help me learn in-depth, not just surface-level.

If you’ve been in my position, where did you start? Which courses or learning paths actually helped you gain real skills and confidence as a beginner?

Any honest advice would mean a lot. Thanks!

Hi everyone! I’m a 3rd year student looking to break into data science. I know Python and basic stats but feel overwhelmed by where to go next. Could you share

1. A structured roadmap (topics, tools, projects)?

2. Best free/paid resources (MOOCs, books)?

3. How much SQL/ML is needed for entry-level roles? Thanks in advance!

4. Should I focus more on stats or coding first?

5. What projects would make my portfolio strong?

6. Are there any free/paid resources you recommend?

Best Data Science Courses to Learn in 2025

1. Coursera – IBM Data Science Professional Certificate Great for absolute beginners who want a low-pressure intro. The course is well-organized and explains fundamentals like Python, SQL, and visualization tools well. However, it’s quite theoretical — there’s limited hands-on depth unless you supplement it with your own projects. Don’t expect job readiness from just completing this. That said, for ~$40/month, it’s a solid starting point if you're self-motivated and want flexibility.

2. Simplilearn – Post Graduate Program in Data Science (Purdue) Brand tie-ups like Purdue and IBM look great on paper, and the curriculum does cover a lot. I found the capstone project and mentor interactions helpful, but the batch sizes can get huge and support feels slow sometimes. It’s fairly expensive too. Might work better if you're looking for a more academic-style approach but be prepared to study outside the platform to truly gain confidence.

3. Intellipaat – Data Science & AI Program (with IIT-R) This one surprised me. The structure is beginner-friendly and offers a good mix of Python, ML, stats, and real-world projects. They push hands-on practice through assignments, and the weekend live classes are helpful if you’re working. You also get lifetime access and a strong community forum. Only drawback: a few live sessions felt rushed or a bit outdated. Still, one of the more job-focused courses out there if you stay active.

4. Udacity – Data Scientist Nanodegree Project-based and heavy on practicals, which is great if you already have some coding background. Their career support is decent and resume reviews helped. But the cost is steep (especially for Indian learners), and the content can feel overwhelming without some prior exposure. Best for people who already understand Python and want a challenge-driven path to level up.

Is 365 Data a good option? Also what about coursera courses? DO they worth it because there is so many I do not know what to start with? Some recommendations would be great thank you :)