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