Learn everything about Analytics

Big Data/Data Science Super Specialisation – Certification by Tech Mahindra-UpX Academy

UpX Academy
0-6 Month Online
Intermediate 25-Mar-2017
Online Big Data
Self paced & Instructor 1133
DescriptionProgram StructureToolsFacultyContact

UpX Academy provides industry leading certification courses in Big Data & Data Science.

Each of these courses have three tracks- Foundation, Specialization & Super specialization

Founded by an ISB alum, UpX Academy brings top notch faculty from world’s most marquee institutions and companies to teach each track & most of the academy’s students are working professionals spread across the globe. Click here to see profile of their current batch

All courses come packed with pre-reads, case studies &assignments.Apart from their top notch faculty & curriculum, two more strengths that makes UpX Academy courses top notch are

  • Student groups work on projects with real-time datasets from world’s top companies like Nike, Walmart & Amazon.
  • Industry immersion sessions with Big Data Analytics experts from companies like Vodafone, Microsoft, Barclays,Amazon. Watch the recordings of some of these sessions on theirYoutube channel.

To top it all, the course comes with an industry recognized certification from Tech Mahindra.

Click here for more details of the program.

Data Science

Foundation

  • Module 1: Introduction to Data Science
  • Module 2: Introduction to Python
  • Module 3: Python Essentials – Data Structures & Operators
  • Module 4: Data Analysis with Numpy & Pandas
  • Module 5: Working with Pandas
  • Module 6: Intro to Statistics
  • Module 7: Exploratory Data analysis with Python
  • Module 8: Introduction to R
  • Module 9: Working with R
  • Module 10: Exploratory Data analysis with R

Specialisation

  • Module 11: Machine Learning – Introduction, Basics & Use cases
  • Module 12: Machine Learning – Statistics Advanced
  • Module 13: Machine Learning – Supervised, Unsupervised Learning and Linear Regression
  • Module 14: Machine Learning – Logistic Regression
  • Module 15: Machine Learning – Decision Trees and Random Forest
  • Module 16: Machine Learning – Modelling Techniques
  • Module 17: Machine Learning – KNN and Naïve Bayes
  • Module 18: Machine Learning – Support Vector Machine (SVM)
  • Module 19: Machine Learning – Unsupervised Learning, Clustering, K-Means Clustering
  • Module 20: Machine Learning – Recommendation System, Mini Project using Movie Lens Dataset

Super Specialisation

  • Module 21: Tableau – Introduction to ecosystem & working interface
  • Module 22: Tableau – Data visualization
  • Module 23: Tableau – Analytics concepts – 1
  • Module 24: Tableau – Analytics concepts – 2
  • Module 25: Tableau -Analytics concepts with mini workshop
  • Module 26: Tableau – Interactive visual analytics
  • Module 27: Tableau – Introduction to server
  • Module 28: Tableau – Wrap up

 

Duration:

  • 5 – 14 weeks
  • Weekend Online Instructor led batches
  • Time:  8 am – 10 am IST

 

Part Time/ Full Time : Part Time

 

Fees:

  • Foundation – INR 22K
  • Specialisaton – INR 32K
  • Super Specialisation – INR 38K

 

Important Dates

  • Batches Start: 25th March
  • Early Bird Discount valid till 5th March
  • Special discount for Analytics Vidhya users: AV20
  • Python
  • R
  • Tableau

Peeyush Taori: Chief Instructor, Data Analytics & Machine Learning: Phd, LBS

Peeyush advises hedge funds & financial services firms in Europe in setting their Big Data Analytics practices. Peeyush is based out of London & loves teaching & mentoring

Suchit Majumdar: Chief Instructor, Big Data: MBA ISB

A Machine Learning & IoT expert, Suchit has been instrumental in setting Big Data practice for AP government’s Smart Cities mission & brings his real world perspective in classes.

Arun Reddy, Chief Instructor, Tableau: MS, MBA University of Cologne

Arun has used data science extensively while working as a life science researcher in Germany. He teaches Tableau track in Data Science & is also a career mentor to students at UpX Academy

Name :
Email :
Contact Number :
Message :
Code :