Data Science & Business Analytics

Get Programme Info

DARE TO DISRUPT WITH DIGITAL MARKETING

15th of every month

Application Deadline:
13th of every month

18 Weeks

INR 1,50,000

Easy EMI

Graduate or Diploma Holder with at least 50% marks in either Diploma or graduation or post-graduation or its equivalent.

Programme Overview

In today’s shifting business environment, data-driven insights are required to gain market leadership and offer firms with a competitive advantage. Businesses in a variety of industries are discovering that the combination of data science and analytics is a game changer, with organizations using data-driven insights to establish long-term growth strategies.

In this course you will have-

  • Business Analytics
  • Resourceful Highly Trained Faculty
  • Application-based pedagogy
  • Lectures and guest sessions  by industry experts and partner industry.
  • Regular mentorship by Industry Leaders from ZS associate, EXL, Ernst & Young and Naggaro
  • Guaranteed Placement support for Data Science & Business analyst role

Careerthon Career Services

Who is this Programme for?

  • B.SC Maths/Statistics

  • B.Tech Computer graduates who want to increase their industry readiness

     

Programme Highlights

Build expertise

18 weeks of rigorous, vibrant learning

Competitive advantage

Get a certificate from Careerthon

Balanced learning

A combination of strategy and operations, left and right brain

Get the latest thinking

Proficient & Experienced faculty

Highly interactive pedagogy

Combination of recorded lectures, assignments* and quizzes

Success Stories

Meet some of our Extremely Talented and Hardworking Alumnus who achieved their Dream Jobs

Programme Modules

  • Introduction to Time Series
  • Correlation
  • Forecasting
  • Autoregressive Moving Average (ARMA) models
  • Autoregressive Integrated Moving Average(ARIMA) models
  • Case Studies 
  • Handling Unstructured data
  • Machine learning Algorithms
  • Bias Variance trade-off
  • Handling unbalanced data
  • Boosting
  • Model Validation
  • Introduction to Data Visualisation
  • Introduction to Tableau
  •   Basic charts and dashboard
  • Descriptive Statistics, Dimensions and Measures
  • Visual analytics: Storytelling through data
  • Dashboard design & principles
  • Advanced design components/ principles: Enhancing the power of dashboards
  • Special chart types
  • Case Study: Hands on using Tableau
  • Integrate Tableau with Google
  • Note: Modules/ topics are indicative only, and the suggested time and sequence may be dropped/ modified/ adapted to fit the total programme hours.

Hear it from our Alumni