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Course Details

Data Science



Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric Python packages. Pandas is one of those packages, and makes importing and analyzing data much easier.

Course Details

Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric Python packages. Pandas is one of those packages, and makes importing and analyzing data much easier.

Course Information

  • Class Start: January 10, 2018
  • Course Duration: 3 Month
  • Total Credits: 135
  • Student Capacity: Max 45 Students
  • Class Schedule: Saturday, Monday & Wednesday
  • Class Time: 9.00 am - 12.00 pm
  • Course Teachers: 03
INTERMEDIATE LEVELS
• Python
• Installation
• IDEs
• Jupyter Notebook Overview
• Basics (10 Hours)
• Learning Numpy (2 hours)
• Learning Pandas (3 hours)
• Learning Scipy (2 hours )
• Data Visualisation (3 Hour)
o Matplotlib
o Seaborn
• Web Scraping (1 Hour)
• Web Development (20 Hours)
o Django
o Flask
• AWS (2 hour)
• Projects (20 Hours)
o Cleaning,Analysing and Visualising diffrent data sets.
• Agile Development(2 Hour)
o Agile concepts and best practices.
o Learn all about SCRUM techniques as a part of Agile Development.
• Interview Prepration
o Communication Skills
o Seminar etc...
ADVANCED LEVELS
• Statitics Overview (2 Hour)
o Discrete,Continous and Binomial Distribution
o Bayes Theorem
o Hypothesis Testing and Confidence Intervals
o Chi Square Test and Distribution
• Machine Learning(20 Hours)
o Introduction
o Introduction to Scikit Learn
o Supervised and Unsupervised learning
o Linear Regression
o Logistic Regression
o Multiclass Classification
o Support Vector Machines
o Decision Trees and Random Forests
o Natural Language Processing
o Introduction to Deep Learning
o Introduction to Neural Networks
• Big Data Analytics (20 Hours)

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