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Data Science Program

for Data Analyst & Data Scientist

Accelerate your career with a data science program

About the Program

Choose from the 5 sets, receive career assistance and mentorship from our experts, learn programming tools & languages & much more.

R-Programming

R-Programming is the chosen language...

Statistics

Statistics is a broad field and is used in...
    Who is this program for
  • Beginner of Recent graduates with bachelor’s or master’s degree.
  • IT Professionals
  • Project Managers
  • Analytics Managers
  • Business Analysts.
  • Banking and Finance Professionals
  • Marketing Managers
  • Supply chain managers.
  • Women professionals trying to make their way back in workforce.
    Minimum Eligibility
  • Analytical mind and ability to stay with mathematical concepts can accelerate your learning process.
  • Basic Understanding of any programming language can also go a long way in accelerating the learning process.
  • However, this course from Deccansoft assumes Zero programming knowledge on the part of students.
    Top skill that you will learn
  • Data science life cycle and data acquisition.
  • Descriptive Analytics.
  • Experimentation, evaluation and project deployment tools.
  • Understand Regression & Classification Models of Data Analytics
  • In depth Understand Supervised and Unsupervised learning models
  • Use Tableau to become Proficient in building Interactive Dashboards.
  • Learn Programming with R
    Job opportunities
  • Data Analyst.
  • Data Scientist
  • Manager Anaytics/ lead
  • Machine Learning Engineer.
  • Statistical programming engineer.
  • Product manager etc.

Syllabus

Introduction to R-Programming
Getting Data Into R
R Objects
Accessing Variables & Managing Subsets of Data.
Functions
Plotting Graph (Visualization)
Programs & Loops
Application – Exploratory Data Analysis

Need to learn Statistics
Descriptive Statistics
Introduction to Probability
Hypothesis Testing
Categorical Data Analysis
Comparing Two Means
Comparing Several Means (One-Way ANOVA)
Linear Regression
Factorial ANOVA
Gateway to Machine learning
Introduction to Machine Learning.
Lazy learning – Classification using Nearest Neighbours.
Case 1 – diagnosing breast cancer with the k-NN algorithm.
Probabilistic Learning – Classification using Naïve Bayes
Case 2 – filtering mobile phone spam with Naïve Bayes Algorithm.
Classification Using Decision Trees and Rules.
Regression Methods
Black Box Methods – Neural Networks.
Finding Patterns – Market basket analysis using Association Rules.
Finding Groups of Data – Clustering with k-Means
Case 8 – finding the teen market segment using k-means clustering
Evaluating Model Performance:
Improving Model Performance:
Data Analytics using Python
Machine Learning Algorithms
Machine Learning
Linear Regression
Logistic Regression
Decision Trees and Random Forests
Support Vector Machines
K-Means Clustering
Principal Component Analysis
Neural Networks, Deep Learning and TensorFlow
Understanding the Basics
Connecting to data
Data Transformation
Calculations in Tableau
More Calculations
Creating Maps
Filters & Parameters
Sorting
Groups, Sets & Bins
Creating Visualization
Dashboard’s & Visual Story

About Trainer

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Mr. Mithun Radhakrishnan

Data Science AI Enthusiast
Mr. Radhakrishnan frequently conducts R-Programming, Tableau training sessions and sessions on Exploratory Data Analysis, Statistics and Machine Learning...
more>>
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Mr. Rahul Rampurkar

Certified Data Scientist (DP-100), Expert in Java & Python
Mr. Rampurkar is an AWS Certified Solutions Architect with 23+ years of experience in IT industry....
more>>

Programming Languages and Tools Covered

Industry Projects

Learn through real-life industry projects sponsored by top companies across industries

Engage in collaborative projects with student-mentor interaction
Benefit by learning in-person with expert mentors
Project # 1

Filtering mobile phone spam with Naïve Bayes Algorithm...


more>>
Project # 2

Identifying risky bank loans using C5.0 decision tree....


more>>
Project # 3

Identifying poisonous mushrooms with the rule learners...


more>>
Project # 4

Predicting medical Expenses using Linear regression ...


more>>
Project # 5

Modelling the strength of concrete with ANNs ...


more>>

How You Benefit From This Program

- Knowledge and expertise on the Data Science tools & technologies

- Skills that can help you land a dream job in Data Science

- Cutting-edge curiculum designed by industry experts

- Career transition with 58% average salary hike

I’m Interested in this program


Frequently Asked Questions

This Data Science online training includes a set of 5 courses –

  • Course 1: R-Programming
  • Course 2: Statistics
  • Course 3: Machine Learning
  • Course 4: ML and AI using Python
  • Course 5: Tableau
If you wish to become a Data Science expert, our suggestion is you go with the complete program, which includes R-Programming, Statistics, Machine Learning, ML and AI using Python, and Tableau.
The Offer price for the complete Data Science program is Rs. 40,000 or USD $530.
Fee Details -
  • R – Programming - Rs. 10,000 or USD $130
  • Statistics - Rs. 15,000 or USD $200
  • Machine learning - Rs. 20,000 or USD $270
  • AI & ML using Python - Rs. 20,000 or USD $270
  • Tableau - Rs. 15,000 or USD $200
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