Data Science

Learn from IIMC,ISI Alumini and Industry Experts.

Learn from IIMC,ISI Alumini Industry Experts with hands-on exercises & Project work. trained on Python-R-SAS-SPSS-DataIKU-Tabluea -Qlik sence tools

LEARN CONTENTS

Modules overview

REACHOUT ANALYTICS offers an ideal and holistic programme to equip business executives and software professionals with the theory and skills required to excel in today’s increasingly dynamic and data-driven business ecosystem.

Module 1 : Statistics for Data Science

Descriptive Statistics
Data Type
Central tendency
Data Dispersion
Five Number Summary
Data Distribution

Module 2 : Mathematics for Data Science

Discrete Distributions
Binomial Distribution
Poisson Distribution
Continuous Distributions
Uniform Distributions
Normal Distributions
Exponential Distributions

Module 3 : Pre-processing data for Ml/AI

Normality with PP plot QQ plt
Chi-square, Test, Ztest, Ftest
Standardization
Scaling data with outliers
Standard Scaler ,Min Max Scaler
Log transformation
Sqrt transformation
PCA Dimension reduction
KNN Euclidean Distance

Module 4: Visualization Tableau Python

Introduction to Data Visualization
Introduction to Tableau
Basic Charts and Dashboard
Visual Analytics: Storytelling through
Bar chart, Pie chart, Scatter plot Tree
Bubble chart, Line chart
Histogram Boxplot

Module5: Machine Learning /AI

Predictive Functional Models

• Liner Regression,
• Dummy Regression,
• Transformed Regression,
• Stepwise, regression
• Backward, Forward Regression

Classification Models

• Logistics Regression,
• OrdinalRegression, Multinomial Regression,
• Random Forestry,
• Naive Bayes,KNN,SVM
• PCA Dimension reduction
• Cluster and profiling

Module6: Artificial Intellegence

ANN,
• CNN,
• RNN
• Text Analytics
• Sentiment Analysis

Module7: Time series & Forecasting

Naive model
Moving Averages, Weighted Moving Averages
Simple Exponential Smoothing
Holt’s Exponential Smoothing
Holt-Winters Exponential Smoothing
Additive Models ,Multiplicative Seasonal Models
ARIMA Models
ARCH models
GARCH models
SARIMA

Module8: Model Validation

Confusion Matrices
APE, MAPE, RMSEAIC BIC AICCROC, AUC,
Recall, precision specificity sensitivity ,
Classification Misclassification

Module9: Business Analytics/Data Mining

Association Mining, Market
Basket Analysis
Recommendation System
Decision Tree, CHAID, CART,

Course Fee

Classroom

SAT - SUN
08:00 PM TO 11:00 PM
IST (GMT +5:30)

MON - TUES
08:00 PM TO 11:00 PM
IST (GMT +5:30)

WED - FRI
08:00 PM TO 11:00 PM
IST (GMT +5:30)

₹99,999

OVERVIEW

Start your Data Science Learning in Reachout Analytics

REACHOUT ANALYTICS is a top-ranked celebrated provider of stimulating and results-oriented high-quality data analytics solutions and data science education.

Key Highlights

50+ Live sessions across seven months

218 Hrs Self-paced Videos

200 Hrs Project & Exercises

Learn from IIT Hyd Faculty & Industry Practitioners

1:1 with Industry Mentors & 24*7 Support

Resume Preparation and LinkedIn Profile Review

Campus Immersion at IIT Hyd

No Cost EMI Option

Your Data Science Summed Up

REACHOUT ANALYTICS is the only professional organisation in the country with the collective expertise and wisdom of distinguished technocrats, eminent academicians, and industry experts.

Study model

REACHOUT ANALYTICS has a massive intellectual capital led by a team of competent expert professionals who blend theory and practice, leveraging their rich hands-on field experience in data science-related projects; thus, the quality and proficiency are combined and embedded in every project and training programme handled.

Study duration & extension

REACHOUT ANALYTICS leverages the unparalleled resources accumulated over time and guarantees clients and learners a wholesome experience of quality, intensity, relevance and challenge. We are bold, innovative and transformative. Our commitment and expertise place us in a select group of institutions in the country, and

Accreditation

REACHOUT ANALYTICS ranks number ONE in imparting training in the country.

100% International

Data science is relatively new and the most in-demand discipline in the business ecosystem.

9999+ students

Data science is a multidisciplinary field that deals with collecting, processing and analysing both structured and unstructured digital data to uncover trends and patterns and obtain insights to derive inferences for making informed decisions.

96% Recommendation rate

Data science applications have diverse uses and purposes, such as predicting and preventing future problems, identifying trends and potential gaps to unleash creative solutions for greater customer satisfaction, detecting fraud, and gathering customer feedback to design new products and services, among many others.

Mentors