Data Science

The data science field employs mathematics, statistics and computer science disciplines, and incorporates techniques like machine learning, cluster analysis, data mining and visualization.Data scientist is one of the best suited professions to thrive in this century. Therefore, it comes as no surprise that the demand for data scientists has been surging in the job marketplace.However, supply has been very limited. It is difficult to acquire the skills necessary to be hired as a data scientist.A data scientist is a professional responsible for collecting, analyzing and interpreting large amounts of data to identify ways to help a business improve operations and gain a competitive edge over rivals.You'll achieve your goal while building 3 projects during this training. Each module is comprised of varying structures, knowledge and difficulties, i.e. after pursuing this course you'll be skilled enough to put algorithms adaptable to any data of real life.

Course Fees:- INR 21999

Duration:- 45 Days

Why Choose Us?

  • Accessible Trainers - Enhance your learning Experience by Directly Interacting with Trainers.
  • Flexible Timings - Customize the learning schedule to your needs
  • Linguistic Diversity - Course offered in regional indian languages
  • Repeating the course to improve your skills? - Get 30% Discount!
  • Profile listing at AICRA for Industrial Placement
  • Introductory Scholarship Offer 30% OFFs

Those who have basic knowledge of programming & mathematics are eligible for this course.

Senior Data Scientist, junior Data Scientist, Data Analyst

Data Science is being used in almost every Business from last few years like Data Science in the Healthcare & Pharmaceutical Industry, Data Science in Telecommunications, Data Science in Energy, Data Science in the Automotive Industry, Gaming, Finance, Insurance


  • What is DataScience
  • Install Python and Anaconda.
  • Installing packages: numpy, pandas, matplotlib, sklearn)
  • Introduction to Python
  • Flow Control (If, for, while) Statements
  • Data Structures
    • Numbers
    • Lists
    • Tuples
    • Dictionary
    • Strings
  • Functions and classes in Python
  • Ndarray Object
  • Data Types in Numpy
  • Array Attributes and Manipulation in Numpy
  • Indexing & Slicing
  • Iterating Over Array
  • Binary Operators in Numpy
  • Mathematical Functions in Numpy
  • Arithmetic Operations in Numpy
  • Matrix Library in Numpy
  • Data Structures in Pandas
  • Series and DataFrame in Pandas
  • Basic Functions in Pandas
  • Iteration
  • Sorting
  • Reindexing
  • Indexing and Selecting Data
  • Missing Data
  • Groupby
  • Merging/ Joining
  • Concatination
  • Categorical Data
  • 2D Plotting with matplotlib
  • Plotting with keyword strings
  • Plotting with categorical variables
  • Regression
    • Simple Linear Regression
    • Multiple Linear Regression
    • Support Vector Regression
    • Decision Tree Regression
    • Random Forest Regression
  • Classification
    • Support Vector Classification(SVM)
    • K - Nearest Neighbour Algorithm(KNN)
    • Naive Bayes Classification
    • Decision Tree Classification
    • Random forest Classification
  • Clustering
    • K-means Clustering Algorithm
    • Hierarchical clustering

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