Data Science Master

5.00(5 Ratings)
Categories Data Science Master


Why Choose the Data Science Master Course by Cambridge InfoTech, Bangalore?

There are seven elements of the Data Science Master Course by Cambridge InfoTech. Each of these elements is split into easy-to-learn modules and taught by qualified trainers. These modules are understanding of the data science field and the type of analysis needed, advanced mathematics, introduction to statistics, introduction to python, ways to apply advanced statistical techniques in Python, core concepts of data visualization, fundamentals of machine learning and finally deep learning.

In totality, learning these 7 concepts from scratch seems like a daunting task, but in reality, with the course from Cambridge Infotech, you can do this with ease. While many other data science master courses online need students to have basic to intermediate knowledge of the subject, our course starts from the basics and slowly progresses to more advanced topics once the previous module is completed fully. We use hybrid teaching methods including videos, interactive learning modules, presentations, case studies, real-life examples, practical training, and real-life scenarios. We also use many more tried and tested, improved techniques of training that are often not used by other institutes that offer quick crash courses and boot camp courses, that are spread into few modules to save time.

This single course by Cambridge InfoTech is all you need to learn many new skills in data science, get a job, start your journey on a fruitful career path and become an accredited data scientist.

Additional Features of the Data Science Master Course by Cambridge InfoTech

  •       Value-added perks such as Q&A support 
  •       The entire knowledge toolkit to enable you to get hired as a data scientist 
  •       Trainers who are experts at data science and have taught over 2000+ students  
  •       An internationally accredited certificate of completion  
  •       Trainer support to learn how to solve real-life business cases
  •       Resume building activities and help
  •       Best placement choices in Bangalore and other top cities


Who Should Opt For The Data Science Master Course?

Aspiring data scientists who either have a scientific curiosity or are looking for a career path in the field of data science should choose this course. This course is perfect for beginners who want a steady progression of knowledge as the modules are taught. The course is ideal for beginners with little to no knowledge of the topic but an interest to learn the subject. 

What you'll learn?

  • The Data Science Master Course provides you with comprehensive knowledge on everything related to becoming a data scientist. Topics include but are not limited to the following:
  • Learn new skills in Mathematics, Statistics, Python, Advanced Statistics in Python, Machine and Deep Learning
  • Learn practical ways to pre-process data
  • Get an insight into the mathematics behind Machine Learning
  • Practice coding in Python
  • Use Python to implement it for statistical analysis
  • Create new and improved Machine Learning algorithms in Python, using NumPy, statsmodels and scikit-learn
  • Use Python to perform linear and logistic regressions
  • Implement cluster and factor analysis
  • Learn tried and tested ways to perform tasks using Deep Learning frameworks with the best methods including Google’s TensorFlowDevelop
  • Learn to harness the power of the best deep neural networks
  • Learn the right ways of creating improved and improvised algorithms by studying underfitting, overfitting, training, validation, n-fold cross-validation, testing
  • Understand the various ways hyperparameters can enhance performance in data science
  • Learn the best way to create your resume with an in-demand data science skill set and introduction to concepts like statistical analysis, Python programming with NumPy, pandas, matplotlib, and Seaborn
  • Use and practice concepts like advanced statistical analysis, Tableau, Machine Learning with stats models, scikit-learn, and deep learning with TensorFlow
  • Hone your new skillset to impress interviewers by displaying your new skills in the data science field

Course Modules

Python for Data Science

  • Kickstart your learning of Python for Data Science with this Data Scientist course and familiarize yourself with programming.

Applied Data Science with Python

Machine Learning

Tableau Training

Data Science Capstone

Student Ratings & Reviews

Total 5 Ratings
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4 weeks ago
A friend of mine is a data scientist and he told me that without prior training I cannot complete this course. When I spoke to the Cambridge InfoTech trainer, he assured me that no prior knowledge is needed and he was right. All concepts were taught from the basic level and even though I am not exceptional at mathematics, the newly learned techniques made it possible for me to improve my mathematic skills as well. Must do course for anyone who wants to become a data scientist.
4 weeks ago
Thank you to the entire team at Cambridge Infotech for making Data Science an easy and fun topic to learn and understand. I cannot believe that I completed the course and got certified on the first attempt. I am waiting for placement and have gotten a few interviews lined up already. I hope to do a few more knowledge courses at Cambridge InfoTech next year.
4 weeks ago
Deep Nets and Random Forest Classification are complex topics, that were explained at great length. Other popular concepts like Support Vector Machines and Regression were also explained in detail. This is surprising as, while very important topics, most other courses skip them to save time! I am impressed by the course material as well as the content delivery by the trainer of Cambridge InfoTech.
4 weeks ago
The course was completed in 150 hours but the trainer also coached for resume building and gave complete support for this. I got certified and placed by Cambridge after completing the Data Science Masters Course quicker than expected.
4 weeks ago
Data science seems like a tough concept to understand especially for beginners but Cambridge InfoTech Institute made it easy to understand. All the concepts were taught from A to Z with the trainer explaining each concept in a step-by-step manner.


  • Students do not need any prior knowledge of data science to join this course. The only things that are needed are the following:
  • Basic computer knowledge
  • A computer to install Python and other software programs – A tutorial will be given to students to do this with a step-by-step approach.
  • Microsoft Excel 2003, 2010, 2013, 2016, or 365