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Become a Masters in
Artificial Intelligence

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Join more than 1500+ students that have changed their future.
In just 3 months you can change your career and become a Data Analyst.
experienced industry practitioners.
Become a Masters in
Artificial Intelligence

Become A Master In Artificial Intelligence

School of data science offers Artificial Intelligence courses in Bangalore Marathahalli.

The only Data Science training program where you get in-depth knowledge of all the modules of Artificial Intelligence. Artificial intelligence is a driving force to change humanity by helping people and businesses create exciting, innovative products and services, drive critical decisions and achieve key goals.This is the reason why companies are hiring AI professionals at a jaw-dropping rate!

Artificial Intelligence

What You Learn?

Data Science with Artificial Intelligence
Training Course Agenda

Python

Python for Data Science Classroom Training course lets you master the concepts.

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Machine Learning

Use Machine Learning techniques to analyze online sales.

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Data Analytics

We provide the most advanced Data Science & Analytics training course in Bangalore..

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Data Visualization

Data visualization is the graphic representation of data.

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Natural Language Processing

NLP is the ability of a computer to understand, analyze, generate human language.

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Predictive Analytics

Predictive analytics are used to determine customer responses or purchases, as well as promote cross-sell opportunities.

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R programing Language

R is a language used for statistical computations, data analysis and graphical representation of data.

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Statistics

Statistics is one of the most important disciplines to provide tools and methods to find structure in and to give deeper insight into data.

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Tableau

The great thing about Tableau software is that it doesn't require any technical or any kind of programming skills to operate.

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Deep Learning

Deep learning is part of a broader family of machine learning methods based on artificial neural networks with representation learning.

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Who can learn Data Science?

Data Science has become an essential part in all the sectors of the industry today. And with the rapid exponential growth of data, it has become a mandatory department in all the fields like finance, pharmacy, medicine, travel, hotels and restaurants, information technology, cyber security, crime investigation, ecommerce, marketing and so on. So, all these sectors need properly skilled data scientists in huge numbers. So isn’t it the wisest thing to get equipped with these skills through the Data Science Courses in Bangalore?

Who can learn Data Science? Let’s look at few factors that can get you to your dream job. Firstly, it is important to have graduation degree in any field. Secondly, it’s very important to have a good amount of interest in computer programming or coding to learn Python & R programming and logical thinking. Thirdly, it’s also important to have interest to learn mathematics and statistics as it’s all about manipulating data.

Along with the above mentioned domain factors, soft skills like business skills and communication skills can give a boost to your career in data science. Data Science is very vast career option as it has diverse step by step roles like Data Engineer, Business Intelligence Professional, Data Manager, Data Analyst, Machine Learning Engineer, Data Scientist and Business Analyst.

With all these simple factors, anyone can learn data science! Grab this opportunity and enrol for the best data science training in Bangalore.


Why should one study Data Science in School of Data Science?

School of Data Science offers one of the best Data Science Courses in Bangalore with industry relevant training. Don’t just believe this, check it yourself! Data Science has rapidly captured the market in the last few years and it definitely has a lot of scope in the future. Why waste time in searching for institutes? Here is what we have for you!

Get trained by expert trainers with 15+ years of industry experience. Learn Machine Learning algorithms, Predictive Analysis and Natural Language Processing with their 100% practical applications. Also, explore the opportunity to work as an intern while doing the course. Get exposure to real time projects that use Python, Artificial Intelligence and Deep Learning techniques.

That’s not it! School of Data Science takes care of your resume building & mock interviews. It offers 6 months of subject assistance after completion of the course. It also offers 100% placement support and assistance. Be sure to become industry ready by end of your training!

When all these important points mentioned above are satisfied, what should you wait for? Technology is changing every minute! Millions of data are required to be processed and analysed every second! Why not grab this opportunity to become a Data Scientist! Enrol yourself in the Best Data Science Training Institute and Get Started!

What Our Students Say

Data Scientist

Bagya Sree

Data Scientist

I have enrolled the data science course provided by School of Data science and their modules and services made a comfortable platform for a swift transition from a non IT Background to Analytics. School of data science gives real time case studies and assignments gave me a lot of knowledge.

Data Scientist

Ajay

Data Scientist

Great institute to start up- your career in Data Science field. The best part is the virtual LIVE CLASS where you get hands on experience. trully brilliant. There is so much to learn. I especially wanted to thank the faculties and support team for the follow ups and quick replies to my queries.

Frequently Asked Questions

The only Machine Learning training program
where you get in-depth knowledge of all the modules of Machine Learning

  • Topics:
  • Artificial Intelligence
  • Machine Learning
  • Machine Learning algorithms
  • Applications of Machine Learning
  • Topics:
  • Supervised learning
  • Unsupervised learning
  • Semi-supervised and Reinforcement learning
  • Bias and variance trade-off
  • Representation learning
  • Topics:
  • Data preparation
  • Feature engineering
  • Feature scaling
  • Datasets
  • Dimensionality reduction
  • Topics:
  • Concepts of linear algebra
  • Eigenvalues, eigenvectors, and eigendecomposition
  • Introduction to Calculus
  • Probability and statistics
  • Topics:
  • Regression and its types
  • Linear regression: Equations and algorithms
  • Meaning and types of classification
  • Logistic regression
  • K-nearest neighbors
  • Support vector machines
  • Kernel support vector machines
  • Naive Bayes
  • Decision tree classifier
  • Random forest classifier
  • Topics:
  • Clustering algorithms
  • K-means clustering
  • Topics:
  • Meaning and importance of Deep Learning
  • Artificial Neural Networks
  • TensorFlow

    • Important Links

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