Scaler Data Science & Machine Learning Program

Coding background is not required to enroll in this Data Science course. You can start from the Beginner module in which we will cover the basics of coding.

In fact, prior knowledge in Data Science or ML is also not needed. We will cover all the relevant topics from scratch.

The only prerequisite is that you should have a basic understanding of 9th and 10th-grade school maths - just the basics, nothing advanced. Still, we will cover these topics in class, but some prior knowledge would be helpful.

All the Maths required for understanding and implementing algorithms will be covered in this Data Science training (Probability, Statistics, Linear Algebra, Calculus, Coordinate Geometry).

For learners who show interest in publishing in the data science domain, we would be happy to provide mentorship and support.

While designing the Scaler Data Science course, we did not put any limit on the duration. We included each and every concept that is important for making you a strong Data Scientist and ML Engineer. The course turned out to be 15 months long with more hands-on experience.

Notice that the course is quite rigorous; each week you will have 3 Live lectures of 2.5 hours each, homework assignments, business case project, and discussion sessions. This allows us to cover the entire depth and breadth of Data Science & Machine Learning, as much as is required for you to succeed in the role.

25 data science projects will be assigned in homework and others will be covered in class.

In each case, we will focus on a particular portion that is relevant to the topic being covered that week.

Each case study is discussed in class, at the end of the week (Business Case Discussion Session)

Submissions from all students are posted on an internal Discussion Forum where you can read how other students have solved that particular problem.

Students are allowed to drop 25% of the total case studies, depending on their interest area. So they can focus the remaining time on other cases of their interest.

As students practice working under deadlines, their speed and productivity will hopefully start improving.

Scaler community has people working worldwide. The bottleneck is in getting a visa sponsorship. Many companies based in India offer opportunities for their high-performing employees to work on international data science projects and relocate. Some international companies also hire directly in India and ask to relocate for jobs. However, with the surge in WFH, this trend may be ebbing. However, you can continue applying for remote data science jobs based outside India via LinkedIn.

Masters and PhD are typically asked for Research focused data science roles. Most companies do not require a Masters' degree for a Data Science role.