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REGISTER FOR A FREE WEBINAR - OPPORTUNITIES IN DATA SCIENCE

DATA SCIENCE

PREPARE YOURSELF FOR THE MOST SOUGHT AFTER CAREER OF THE 21ST CENTURY!

DATA SCIENCE

Instructors With 20+ Years Of Combined Experience In Data Science & Data Analytics

Instructors Have Personally Trained 1,600+ Participants Across India

Participate From Your PC/Mobile With HD Video Live Streaming

Fully Interactive With Two-Way Live Communication

Access Recorded Classes For Easy Reference

Access To Instructor For 1 Month After Course Completion

REGISTER FOR A FREE WEBINAR - OPPORTUNITIES IN DATA SCIENCE

The Data Science Certification Course from MyAbhyaas Academy has been designed to prepare the participants for the most sought after career opportunities in the 21st century.

As the demand for analytics professionals is ever increasing, this course will equip you with all the conceptual framework and technical know-how to boost your career in Data Science, Business Intelligence and Business Analytics – the sexiest jobs of the 21st century as per Harvard Business Review. The program, which is developed by instructors with 20+ years of combined experience in Data Science field, will provide participants exposure to high quality content, work activities and real-life projects, enabling the best in class learning and exposure.

During this course, participants will learn the practical know-how on using tools like Python & R-Programming and the entire spectrum of Data science. This includes modules on data exploration, exploratory data analysis, data preparation and deriving statistical inference for actionable knowledge.

Through the course, participants will work on various assignments to understand how they can leverage Data Science in solving complex business analytical problems – all explained using relevant case studies. Certification with grade will be issued based on submitted assignments as well as performance in the final test.

KEY LEARNING FROM THIS PROGRAM

After successful completion of this course, the participants would be well versed in:

1. Conceptual understanding of the entire process of data science across data exploration, data visualization, predictive and descriptive analytics techniques

2. Using data science techniques to generate actionable business insights

3. Use of Python in data science

4. Application of R in data science

5. Business application of statistical concepts such as regression, cluster analysis, hypothesis testing, etc.

6. Improved skills about planning, researching and communicating ideas

WHO SHOULD REGISTER FOR THIS COURSE?

The course is suitable for beginners as well as experienced professionals who want to make career in data science, business intelligence, data visualization, and data analytics. To benefit from this program, all you need is analytical bent of mind.

A basic understanding of any programming language is desired but not necessary.

Following set of people will find it useful:

1. IT & Software professionals looking to switch to data science and analytics

2. Professionals in data analytics and business analytics job

3. Engineers and MBAs looking to build career in analytics and data science

4. Statisticians and Business Analysts

5. Project Managers

6. Anyone with a genuine interest in the data science field

GET IN TOUCH TO KNOW MORE

Call Us: +91-90040-89006

DATA SCIENCE COURSE BENEFITS

LEADING INSTRUCTORS

Learn from Instructors with 20+ years of combined experience in data science and data analytics; have trained 1,600+ participants!

40+ TOPICS

Specially designed to provide the requisite conceptual knowledge, tools, and skills to become an effective data science & analytics professional; focus on developing critical thinking abilities

LIVE INTERACTIVE CLASSES

Participate in 60 hours of instructor-led live training; fully interactive with two-way live communication; Designated forums to facilitate interaction and knowledge sharing among participants!

LEARN FROM ANYWHERE

Participate in this program from your PC/mobile with HD video live streaming; life time access to recorded classes for easy reference!

LEARN WITH ASSIGNMENTS

Online quiz and simulation activities to reinforce practical application of learned concepts; explanatory answers!

REAL LIFE APPLICATION

Focus on practical applications and usage of Python, R and Statistical concepts; many industry specific projects during the training and 2 additional projects for practice

1-MONTH ACCESS

Access to the instructors for 1 month even after completing the course for guidance/support

CERTIFICATION

Certificate on completion with grades based on the performance in assignments and projects!

COURSE CURRICULUM

MODULE 1: INTRODUCTION TO DATA SCIENCE 

Introduction to Data Science & Business Analytics

Analytical Terminology, Analytical Methodology

Introduction to Python, R-studio Interface

Data Collection, Creating Datasets, Reading Data From External Files (.txt, .xls, .csv)

ASSIGNMENT 01: Reading different external files of different domains data into R and writing back to the external files

MODULE 2: PROBABILITY THEORY 

Events and their Probabilities

Rules of Probability

Conditional Probability and Independence

Distribution of a Random Variable,Moment Generating functions,, Central Limit Theorem

Expectation and Variance

Naïve Bayes

ASSIGNMENT 02: Online Quiz

MODULE 3: BASIC STATISTICS

Measures of Central tendency

Measures of Dispersion

Skewness and Kurtosis

ASSIGNMENT 03: Online Quiz

MODULE 4: HYPOTHESIS, PARAMETRIC & NON-PARAMETRIC TESTS 

Sample and Population

Formulate the Hypothesis

Select an Appropriate Test

Choose level of Significance

Calculate Test Statistics

Determine the Probability

Compare the Probability and Make Decision

One Sample T-Test

Two Independent Samples Tests

Paired T-test

Proportional Test

Non Parametric One Sample Test

Chi Square Test

Z Test

F Test

ASSIGNMENT 04: Online Quiz

MODULE 5: DATA PREPARATION

Data Preparation: Arranging the data

Data Manipulation

Inferential Statistics

Inferential Statistics

ASSIGNMENT 05: Take the messy raw data given and perform data preparation

MODULE 6: DATA MINING 

Data Mining: Introduction

Introduction to Regression

Dimensionality Reduction Techniques: Factor Analysis

Principal component Analysis

ASSIGNMENT 06: Take the Business school data and analyze the instructors’ performance 

MODULE 7: MACHINE LEARNING (UNSUPERVISED LEARNING)

Clustering: Introduction

Clustering case study

Association Rules — Introduction

Association Rules — Case study

ASSIGNMENT 07: Perform the grouping on the given hospital data share your insights

MODULE 7: MACHINE LEARNING (UNSUPERVISED LEARNING)

Clustering: Introduction

Clustering case study

Association Rules — Introduction

Association Rules — Case study

ASSIGNMENT 07: Perform the grouping on the given hospital data share your insights

MODULE 8: KERNETL DENSITY ESTIMATION

Kernel Density Estimation

KDE case study

ASSIGNMENT 08: Online Quiz

MODULE 9: LINEAR REGRESSION

Linear Regression: Case study

Linear Regression: Model Diagnostics

ASSIGNMENT 09: Online Quiz

MODULE 10: MACHINE LEARNING (SUPERVISED LEARNING)

Introduction to Visualization

Visualization

Introduction to Logistic Regression

Logistic Regression -Case study

ASSIGNMENT 10: Analyze the Highway deaths data and suggest what are the precautions we need to take to reduce accidents on highway

MODULE 11: ANOVA

One Way Analysis of Variance

Assumption of ANOVA

Statistics Associated with One Way Analysis of Variance

Decomposing the Variations

Interpreting the ANOVA Results

Two Way Analysis of Variance

Interpreting the ANOVA Results

Analysis of Covariance

ASSIGNMENT 11: Online Quiz

MODULE 12: TIME SERIES 

Definition of Time Series

Time Series Decomposition

Simple Moving Average Method

Weighted Moving Average Method

Single Exponential Smoothing Method

Double Exponential Smoothing Method

Triple Exponential Smoothing Method

Stationarity of Data

ARIMA Models

ASSIGNMENT 12: Online  Quiz

MODULE 13: DATA WAREHOUSING 

Introduction to Data Warehousing

Introduction to SQL

ASSIGNMENT 13: Online  Quiz

MODULE 14: PROJECT WORK

Data science Case Study using Python

Understanding the Case Study

Case Study – Hands On

ASSIGNMENT 14: Working on a Credit card Application Data-set and finding out what are the features to look at in the application and find out those features, which guide us to make better decisions.

CAPSTONE PROJECTS

Successful execution of one of the 4 real-life, industry-based projects is mandatory for certificate eligibility. In addition, participants can work on one additional project under the guidance of the instructor to get better command over data science techniques.

Project 1: Insurance Sector

Using predictive analysis on historical consumer data and trends to forecast future trends to help appraising and controlling of risks in underwriting, pricing, rating, etc.

Project 2: Telecom Sector

Using data science techniques on consumer behavior data, forecast expected future trends in customers’ acquisition, retention and churn-rates.

Project 3: Ecommerce Sector

Using data science techniques on consumer buying behavior data, predict behavior of different set of online consumers and help manage inventory in the system.

Project 4: Financial Services

Using data science techniques on customers’ specific parameters – such as demographic, income, etc. – predict probability of loan defaults

PARTICIPANTS' FEEDBACK

Harshita Tanwar

Data analytics course from MyAbhyaas is helping me to understand the concepts and its practical application. The guidance provided by the instructor is also helping me to understand key skills required to do better in this field and then acquire those skills!

Data Analyst, Wipro

2017-02-09T18:22:49+00:00

Data Analyst, Wipro

Data analytics course from MyAbhyaas is helping me to understand the concepts and its practical application. The guidance provided by the instructor is also helping me to understand key skills required to do better in this field and then acquire those skills!

Himanshu Chaubal

The Data Analytics with R-programming course by MyAbhyaas is an excellent course! It gave me a clear understanding of all the concepts and tools for business analytics needed to evaluate market trends for different global industries effectively.

Business Research & Advisory Professional, Mumbai

2017-02-10T10:26:57+00:00

Business Research & Advisory Professional, Mumbai

The Data Analytics with R-programming course by MyAbhyaas is an excellent course! It gave me a clear understanding of all the concepts and tools for business analytics needed to evaluate market trends for different global industries effectively.

Contact Us

Phone: +91-9004089006
Email: info@myabhyaas.com


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