Reachout Analytics

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.

  • Descriptive Statistics
  • Data Type
  • Central tendency
  • Data Dispersion
  • Five Number Summary
  • Data Distribution
  • Discrete Distributions
  • Binomial Distribution
  • Poisson Distribution
  • Continuous Distributions
  • Uniform Distributions
  • Normal Distributions
  • Exponential Distributions
  • 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
  • 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

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

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

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

Venkat

Data Scientist

Arwen Lee

Technician

Arwen Lee

Eduard Snyder

Network Engineer

Eduard Snyder

Who can apply for the Data Scientist course?

What roles does a Data Scientist play?

Data Scientist

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Analytics and Insights Analyst

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AI & ML Engineer

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Data Engineer & Data Analyst

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Junior Data Scientist

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Applied Scientist

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Data Science Projects

Practice Essential Tool

Designed By Industry Experts

Get Real-world Experience

Peer Learning

Career Services

  • Job Assistance
  • Profile Building
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  • Class Notifications
  • Hackathons
  • Career Services
  • Major Announcements
  • Collaborative Learning
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Data Science Certification

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Course Reviews

Data Science Training FAQs

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