Become a Masters in Data Science
and Machine Learning

Join more than 5248+ students that have changed their future.
In just 3 months you can change your career and become a Data Analyst.

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Professionals
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Become a Certified Data Science Professional in 3 Months

Data science is one of the fastest growing professions in the world. The demand for data science professionals is showing no signs of reduction. All over the world, companies and large corporations are dependent on data for realigning their business goals and modifying their business processes. All these decision can’t be taken from the raw data but only from the processed data that can be interpreted. In order to interpret and derive useful information from data, it has to be carefully analysed and processed at first. The work of a data science professional is to convert the intangible data into actionable insights.

At School of Data Science, we provide data science training courses that makes you an expert in 3 months. Call us today to book your free demo session.

Why Learn Data Science Course

Data science is an attractive field of work that offers great lifestyle and better pay at work. An entry level job in data science earns up to ₹5 Lakhs per annum while the pay for experienced data science professionals can go higher than other career paths. A data scientist with 3 to 5 years of experience can easily earn ₹8 Lakhs per annum while professionals with more than 8 years of experience in the field can command a salary higher than ₹12 Lakhs per annum. Apart from the salary aspect, the job is challenging and fulfilling in nature.

The need for data scientists are not restricted only to Bangalore or India. Experienced professionals are in huge demand in other countries like Canada, U.S., U.K., Australia, and many other countries. The ability to travel and migrate from one country to another with the expertise gained in one place is an added advantage of a career in data science.

Data Science

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Data Science Modules

The only Data Science 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
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