## Course Introduction:

The programme aims to provide in-depth understanding of Data Science, Data analytics, Python Fundamentals. Introduction to Business Intelligence(BI), Machine Learning(ML), Artificial Intelligence(AI)

This course is best recommended for new learners, as it serves its purpose of quick learning techniques with your  dedicated one to one online trainer who will hold your hand and teach you from the basics of Data Science. This is one of our best on demand and most popular online course module for Data Science learners.

## Aim of the course:

This course is aimed for fresh beginners who are interested to learn from the fundamental concepts of what is data science and how this technology is used in various fields. Once you are clear with the fundamentals of what is data science you can proceed for the advanced analytics in data science

The  course is offered in  with specialisation in following disciplines:

Basics to Advanced level Data science Training

100% practical training

100% job oriented Training

Data Analytics Techniques for Industry standards

Data Visualization Techniques

## Course Content

Week1 : Exploring the terminologies and very basic fundamentals from the grass root level

• Data Science
•  Data Analytics
• Machine Learning
•  Artificial Intelligence
•  Data and its types
•  Techniques of data
•  Methods for analysing and predicting data types

Week 2 : Statistics Analysis used in data science

• Probability
• Computing basic probability formula
•  Events and compliments
•  Combinatorics, factorials and permutations
•  Bayesian Inference
•  Sets and events
•  Subsets
•  Union and intersection of sets
•  Law of total probability
•  Multiplication rule
•  Bayes rule

Week 3 : Probability distributions

• Introduction to probability distribution and its types
• Discrete distribution
•  Uniform distribution
•  Bernoulli distribution
•  Binomial distribution
• Poisson distribution
•  Continuous distribution
•  Normal distribution
•  Student’s T distribution
•  Chi-squared distribution
•  Exponential distribution
•  Logistic distribution

Week 4 : Machine Learning & Artificial Intelligence Fundamentals

• Hands on Python
•  Introduction to Python language and software installation
• Data preprocessing in Python
• Regression using Python
• Simple linear regression
• Multiple linear regression
• Polynomial regression
• Support Vector Regression (SVR)
• Decision tree regression
• Random forest regression
• Regression modelling
• Regression classification in Python
• K clustering
• Heatmaps
• Dendrogram

#### Program Overview Key Highlights

• Designed for Working Professionals
• Practical Hands-on Work Experience
• One-on-One training
• Timely Doubt Resolution
• Dedicated trainer
• No Cost EMI Option

#### Top Skills You Will Learn

• Data Statistics
• Predictive Analytics
• Data Visualisation
• Data Modelling

#### Minimum Eligibility

• Bachelor’s degree any discipline
• Both the working professionals and fresh graduates can apply for the course.

#### How you benefit from the Program

• Professional Data Science Certification
• Cutting edge curriculum
• Career transition in the field of R&D

Course Duration: 1 Month

Class Duration: 2 hrs per session/Monday to Friday/5 sessions per week

Mode of Training: Online 1:1 live sessions with trainer

Course Fee: Twelve thousand eight hundred rupees only/-