Data Science - Course Content

The role of a Data Science is one of the hottest in the industry. With Vissicomp course, we will develop your skill with a comprehensive understanding to Data Science.We will cover the basics of Python, before moving to Statistics and finally going through various Modeling Techniques. By the end of the course, you will have a solid understanding of Data Science and will be able to build an end-to-end predictive model.

Why take this course

  • Content in understandable format
  • Senior Experienced Instructors
  • Industry collaboration
  • Real industry problems         

Data Science Syllabus:-



1. Probability Distributions

a.    Random Variable(Discrete and Continuous)

b.    Probability Distributions (Discrete and Continuous)

c.    Expectation, Variance and Standard Deviation

d.    Chebyshev’s Inequality

e.    Theoretical Probability Distribution (Bernoulli,Normal and          Poisson)

f.     Sampling Distribution

g.    Bayesian Estimation and its application to Data Mining

h.    Test of Hypothesis

20 hrs

2. Statistical Techniques

a.    Linear Regression

b.    Logistic Regression and Curve Fitting

c.    Linear Algebra

d.    Correlation Analysis

e.    SVM and SVD

20 hrs

3. Data Mining and Machine Learning Techniques

a.    Classification

b.    Clustering

c.    Decision Tree

d.    Neural Network

e.    Supervised Learning

f.     Unsupervised Learning

g.    Semi-supervised Learning

h.    Reinforcement Learning

i.      Recommender Engine

14 hrs

4. Computer Language

a.    Python (Basic or Level 1)

b.    Numpy,Pandas,Scikit (Python Libraries used for Data Analytics)

10 hrs

5. Database Technologies

a.    MySQL,Sqlite3 and their connection to Python

b.    MongoDB (Emphasis on Object storage)

10 hrs