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MAKE IT

BIG WITH BIG DATA ANALYTICS

UpX Academy is an ed-tech platform providing advanced professional training in

Big Data Analytics that helps individuals and businesses rise to the advanced

skill requirements of the current industry. Powered by IT major Tech Mahindra,

UpX Academy provides industry oriented courses on Big Data Analytics, Data

Science & Machine Learning delivered by world-class faculty who also have more

than 7+ years of prior working experience in above areas.

Designed by industry experts, our courses integrate real-world hands-on training

with case studies and projects using datasets from companies like Amazon,

Nike, Yelp, Walmart, etc. This training is supported with teaching assistance

which allows individuals to develope hands on skills by applying the concepts

and becoming technically proficient.

About us

UpX Academy is committed to address the growing requirements of the industry by providing the best-in-class training that empowers professionals to approachreal-world scenarios.

The global tech landscape is undergoing a rapid transformation. Growing advances

in Machine Learning, Neural Networks, and Natural Language Processing have

revealed a new world of opportunities, made possible due to availability of BIG DATA!

It has allowed organizations to adopt new practices to stay competitive in the rapidly

changing business ecosystems especially through automation. UpX Academy is

committed to address this change by providing the best-in-class training that em-

powers professionals to approach real-world scenarios.

At UpX, we believe that a smart workforce forms the backbone of a high performing

business. We associate with world-class instructors having expertise in IT, HR,

Retail, Pharmaceuticals, Telecom & Finance domains. Our courses are customized

and curated to accomplish unique business requirements. I’m confident that our

expertise and solution-based approach will help you unlock your inner potential and

take the first step towards making your career future-ready.

HAPPY LEARNING!

Founder Speak

Our courses are customized and curated to accomplish

unique business requirements.

An ISB alum with extensive experience in the education sector, he is the driving force behind the innovative learning model of UpX Academy.

MANVENDER SINGHFounder & CEO

Applications

Leaders Speak & Opportunities

Subjects & Tracks

Course Fees

Course features

Curriculum

FAQ’s

Coordinates

5

6

7

12

18

24

43

45INDEX

Shopping recommendationsto enhance customer experience

Analyse purchase patternsand behaviour to optimizecustomer experience

Friend suggestions andTargeted Advertising

Identify credit risk and frauddetection

Customized entertainment and music listings

Determine dynamic pricingbased on tra�c congestion

5

COMMON APPLICATIONS OF

BIG DATA & DATA SCIENCE

LEADERS SPEAK

The Job of the FutureData Scientist -The sexiest job of 21st century - Harvard Business Review

High Demand, Low SupplyBy 2018, US alone will have a shortage of ~1.5 million Big Data skilled professionals - McKinsey

Attractive SalariesA Data Scientist draws an average salary of $118,000 – 2X higher than that of a software engineer - Glassdoor

A GATEWAY TO A WORLD OF NEW OPPORTUNITIES

IoT Social Media E-CommerceHealthcareBanking & Finance

RetailTelecom HR

6

SUBJECTS & TRACKS

7

FOUNDATIONSPECIALIZATION6 MONTH CERTIFICATE PROGRAMME

DATA

SCI

ENCE

BIG

DAT

A

Tableau*

Data analytics with Python & R*

Machine Learning

Spark

Hadoop

MongoDB,HBaseSqoop & Flume*

WORLD’S FIRST

BIG DATA ANALYTICS PROGRAMME(Combination of Big Data & Data Science tracks)

*Recorded videos

8

9

BIG DATA TRACKS

FOUNDATION SPECIALIZATIONSUPER SPECIALIZATION

6 MONTH CERTIFICATE PROGRAMME

WORLD’S FIRST

ELEC

TIVE

S MongoDB,Hbase,Sqoop& Flume

Machine Learning with Spark

Any 1 electivemodule

Includes 2 electivemodules

Processing

Hadoop

Spark

Big Data Integration & Any 1 core

moduleAny 2 coremodules

Any 2 coremodules

Includes 3 coremodules

CORE

MO

DULE

S

Elective modules are recorded

10

DATA SCIENCE TRACKSEL

ECTI

VES

CORE

MO

DULE

S


Data Analytics withPython & R

Machine Learning

Deep Learning with NLP

Advanced machinelearning

Tableau

FOUNDATION SPECIALIZATIONSUPER SPECIALIZATION


Advance MachineLearning

TableauAny 1 elective

moduleIncludes 2 elective

modules

Any 1 coremodule

Any 2 coremodules

Any 2 coremodules

Includes 3 coremodules

Data Analytics with Python and R*

Machine Learning

Deep Learning with NLP

WORLD’S FIRST

BUSINESS ANALYTICS

11


FOUNDATIONSUPERSPECIALIZATION SPECIALIZATION


ELEC

TIVE

SCO

RE M

ODU

LES

WORLD’S FIRST

SQL & businessstatistics

Analytics basics

Product analytics

Visual analytics with Tableau & Alteryx

Predictive analytics with R

COURSE FEES

12

6 MONTH CERTIFICATE PROGRAMMES

` 700006 Months

6 Month Certificate Programme in Big Data Analytics ` 49000

` 700006 Months

` 490006 Month Certificate Programme in Big Data

` 700006 Months

` 490006 Month Certificate Programme in Data Science

` 560006 Months

` 392006 Month Certificate Programme in Business Analytics

6 Month Certificate Programme Duration Course Fee

Additional discountson group enrolments

Enrolment deadline is5th November

Next Batch Starts on 18th November

3 month EMI option with ICICI, HDFC, Axis, AMEX,

IndusInd & Kotak Mahindra

Use coupon code UPX30 on our website to avail 30% discount.

`

Instructor-led weekday and

weekend course

13

(Inclusive of taxes)Discounted Fee

(Inclusive of taxes)

Courses Duration Course Fee

11 weeks

19 weeks

` 40000

` 60000

` 70000

` 28000

` 42000

` 49000

Big Data Analytics Foundation

Big Data Analytics Specialization

29 weeks

BIG DATA ANALYTICS TRACKS

6 Month Certificate Programme in Big Data Analytics

14

Discounted Fee(Inclusive of taxes)(Inclusive of taxes)

Additional discountson group enrolments





Use coupon code UPX30 on our website to avail 30% discount.

`


weekend course

DurationCourses

Big Data Foundation

Big Data Specialization

Big Data Super Specialization

6 weeks

10 weeks

15 weeks

BIG DATA TRACKS

` 20000

` 34000

` 46000

` 17000

` 28900

` 39100

` 700006 Months ` 490006 Month Certificate Programme in Big Data

`






weekend course

15

Course Fee Discounted Fee(Inclusive of taxes)(Inclusive of taxes)

Additional discounts on group enrolments of 2 or more.

Use coupon code UPX15 to avail 15% discount on our website on Foundation, Specialization and Super Specialization tracks.Use coupon code UPX30 on our website to avail 30% discount on 6 Month Certificate Programme.

DurationCourses

Data Science Foundation

Data Science Specialization

Data Science Super Specialization

5 weeks

10 weeks

14 weeks

DATA SCIENCE TRACKS

`






weekend course

6 Months

6 Month Certificate Programme in Data Science

16

` 20000

` 34000

` 46000

` 17000

` 28900

` 39100

` 70000 ` 49000



Use coupon code UPX15 to avail 15% discount on our website on Foundation, Specialization and Super Specialization tracks.Use coupon code UPX30 on our website to avail 30% discount on 6 Month Certificate Programme.

DurationCourses

Business Analytics Foundation

Business Analytics Specialization

Business Analytics Super Specialization

5 weeks

11 weeks

15 weeks

BUSINESS ANALYTICS TRACKS

6 Month Certificate Programme in Business Analytics 23 weeks

17

` 18000

` 28000

` 38000

` 15300

` 23800

` 32300

` 56000 ` 39200



Use coupon code UPX15 to avail 15% discount on our website on Foundation, Specialization and Super Specialization tracks.Use coupon code UPX30 on our website to avail 30% discount on 6 Month Certificate Programme.`





Instructor-led weekend courses

COURSE FEATURES

18

COURSE FEATURES

Application based learningTheory

Hands-onCase study

Project

Dedicated Student Support Team

Help beyond the classroom hours

CurriculumDesigned by experts

Knowledge repositories, Pre-reads, Videos, Assignments &

Installation guides

Mentor ConnectGet exclusive one onone mentor guidance

Industry specific projectsChoose group project from

BFSI, Retail, Healthcare, Entertainment, Airlines & Sports

Discussion forumAlways buzzing with students

interacting with each other

19

CAREER SUPPORTCAREER SUPPORT

Exclusive Industry immersion Sessions

Interview preparation guides

Extra sessions on cutting edge technologies

Exclusive Resume workshop

session by an expert

Integrating real world projects to make your

resume world class

20

CERTIFICATION

LEVEL 1 LEVEL 2

CERTIFICATION CERTIFICATEOF COMPLETION

21

FACULTY

Our world-class faculty are experienced working professionals working in senior positions of top-tier companies like

22

PROJECTS

Real world datasets from companies like Nike, Yelp, Amazon, Netflix etc. are provided to our students for them to work in groups and get accustomed to the industry-experience.

23

CURRICULUMDesigned by experts, our Big Data and Data Science curriculum aims at delivering a holistic knowledge to every student from a fresher to a professional.

24

BIG DATA

25

Module 5: Hadoop Architecture & Ecosystem

Module 6: Hadoop Distributed File System(HDFS)

Module 1: Introduction to Big Data

Module 2: Python Essentials - I

Module 3: Python Essentials - II

Module 4: Introduction to Hadoop

Module 7: Introduction to Map Reduce

Module 8: MapReduce Programming with Python

Module 9: Apache Pig

Module 10: Apache Pig Hands - on

Module 11: Apache Hive

Module 12: Apache Hive Hands - on

Week 1

Week 2

Week 3

Week 4

Week 5

Week 6

BIG DATA-CORE MODULE Hadoop

26

DURATION : 6 WEEKS

27

Module 5: Spark Programming

Module 6: Spark SQL

Module 1: Programming with Scala-I

Module 2: Programming with Scala-II

Module 3: Introduction to Apache Spark architecture

Module 4: RDD, transformations and actions

Module 7: Spark Streaming - I

Module 8: Spark Streaming - II

Module 9 Machine Learning with Spark MLlib

Module 10: Live Practice session

Week 1

Week 2

Week 3

Week 4

Week 5

BIG DATA-CORE MODULE SparkDURATION : 5 WEEKS

Flume

Module 5: Apache Kafka

Module 6: Integration of Kafka with Spark

Module 1: Data lakes

Module 2: Processing big data

Module 3: Integration of Hadoop with MongoDB

Module 4: Integration of Spark with MongoDB

Module 7: Splunk and Big data management

Module 8: Big data processing using Splunk

Module 9: Big data processing pipelines

Module 10: Live Practice session

Week 1

Week 2

Week 3

Week 4

Week 5

28

BIG DATA-CORE MODULE Big Data Integration and ProcessingDURATION : 5 WEEKS

Module 5: Classi�cation

Module 6: Linear regression, Logistic regression

Module 1: Introduction to Machine learning

Module 2: Statistics

Module 3: Overview of Machine Learning algorithms

Module 4: Spark MLlib datatypes

Module 7: Spark MLlib Decision tree

Module 8: Spark MLlib KNN classi�cation

Module 9: Spark Clustering

Module 10: Recommendation system

Week 1

Week 2

Week 3

Week 4

Week 5

Module 11: Recommendation system Hands - on

Module 12: Live Practice Session

Week 6

29

BIG DATA-ELECTIVE MODULE

DURATION : 4 WEEKS (Recorded)Machine Learning with Spark

Flume

30

Module 1: Introduction to NoSQL

Module 2: Getting started with MongoDB

Module 3: MongoDB Essentials - I

Module 4: MongoDB Essentials - II

Module 5: Hands-on MongoDB

Module 6: HBase

Week 1

Week 2

Week 3

Module 7: SQOOP

Module 8: FLUME

Week 4

BIG DATA-ELECTIVE MODULE MongoDB,Hbase,Sqoop & FlumeDURATION : 6 WEEKS (Recorded)

DATA SCIENCE

31

Module 1: Data Science Introduction & Use Cases

Module 2: Python Basics: Basic Syntax, Data Structures

Module 3: Python Basics: Loops, If-elif statements, Functions, Exception Handling

Module 4: Statistics 1: Measures of central tendency, Population, Sample, Probability Distribution

Week 1

Week 2

Module 5: Statistics 1: Normal and Binomial Distribution, Random Variable, Pictorial Representations

Module 6: Python Advanced: Numpy, Pandas

Module 7: Python Advanced: Data Manipulation, Matplotlib

Module 8: Exploratory Data Analysis: Data Cleaning, Data Wrangling

Module 9: Exploratory Data Analysis: Data Visualisation

Module 10: Exploratory Data Analysis: Case Study

Recorded: R programming, EDA using R

Week 3

Week 4

Week 5

32

DATA SCIENCE-CORE MODULE Data Analytics with Python and R DURATION : 5 WEEKS

33

DATA SCIENCE-CORE MODULE Machine LearningDURATION : 5 WEEKS

Module 5: Decision Trees, Random Forest

Module 6: Modelling Techniques(PCA,

Feature Engineering)

Module 1: ML Introduction & Use Cases

Module 2: Statistics 2 - Inferential Statistics

Module 3: Linear Regression

Module 4: Logistic Regression

Module 7: KNN, Naive Bayes

Module 8: Support Vector Machines(SVM)

Module 9: Clustering, K-means

Module 10: Time Series Modelling

Week 1

Week 2

Week 3

Week 4

Week 5

34

DATA SCIENCE-CORE MODULE Deep Learning with NLPDURATION : 5 WEEKS

Module 5: Introduction to Tensor�ow

Module 6: Recurrent Neural Networks for Language

modelling

Module 1: Introduction to NLP & Deep Learning

Module 2: Word Embeddings

Module 3: Word window classi�cation

Module 4: Introduction to Arti�cial Neural Networks

Module 7: Gated Recurrent Units(GRUs), LSTMs

Module 8: Recursive Neural network

Module 9: Convolutional Neural Networks for

sentence classi�cation

Module 10: Dynamic Memory Networks

Week 1

Week 2

Week 3

Week 4

Week 5

Module 5: Analytics concepts using calculated �elds

Module 6: Analytics concepts for integrating

dashboards

Module 1: Introduction to Tableau

Module 2: Data visualisation

Module 3: Analytics concepts with Statistics - I

Module 4: Analytics concepts with Statistics - II

Week 1

Week 2

Week 3

Module 7: Mini project workshop - Visual Analytics

Module 8: Integration of Tableau with Python

Week 4

35

DATA SCIENCE-ELECTIVE MODULE TableauDURATION : 4 WEEKS (Recorded)

Module 5: Dimensionality Reduction

(Matrix optimisation)

Module 6: Anomaly Detection

Module 1: Market Basket Analysis & Apriori Algorithm

Module 2: Recommendation System

Module 3: Recommendation System - Mini Project

Module 4: Dimensionality Reduction

(LDA,SVD)

Module 7: XG Boost

Module 8: Gradient Boosting Machine(GBM)

Module 9: Stochastic Gradient Descent(SGD)

Module 10: Ensemble Learning - I

Week 1

Week 2

Week 3

Week 4

Week 5

Module 11: Ensemble Learning - II

Module 12: Introduction to Neural Networks

Week 6

36

DATA SCIENCE-ELECTIVE MODULE Advanced Machine LearningDURATION : 6 WEEKS (Recorded)

BUSINESS ANALYTICS

37

BUSINESS ANALYTICS - FOUNDATIONDURATION : 5 WEEKS

Module 1: Foundations of Business Analytics

Module 2: Use cases of Business Analytics

Module 3: Excel Advanced boot camp

Module 4: Pivot tables & Pivot charts

Week 1

Week 2

Module 5: Power Query & Power Maps

Module 6: Data analysis tool, Goal Seek & Solver - I

Module 7: Data analysis tool, Goal Seek & Solver - II

Module 8: Data analysis tool, Goal Seek & Solver - III

Module 9: Data Extraction with Import IO

Module 10: Data Cleaning & Data Manipulation in Excel

Week 3

Week 4

Week 5?

38

Module 11: Application of Probability in Business

Module 12: Bayes theorem & Random Variables

Week 6

Module 13: Bionomial Probability distribution

Module 14: Normal probability distribution

Week 7

Module 15: Descriptive and Inferential Statistics with MS Excel

Module 16: Calculating variances & standard deviations

Week 8

Module 17: Hypothesis Testing

Module 18: Business Modelling with Excel

Week 9

Module 19: Introduction to databases and RDBMS concepts

Module 20: Hands on exercises with SQL Query Language

Week 10

Module 21: In depth exercises on data joining and data blending

Module 22: Creating & editing tables in SQL

Week 11

BUSINESS ANALYTICS - SPECIALIZATIONDURATION : 11 WEEKS

FOUNDATION

?

39

Module 27: Connecting Tableau with R programming tool

Module 28: Tableau Project workshop (POC)

Module 23: Tableau – Introduction

Module 24: Tableau – Data Visualisation fundamentals

Module 25: Tableau Analytics concepts - I

Module 26: Tableau Analytics concepts - II

Module 29: Introduction to Alteryx platform

Module 30: Data Integration and planning data pipelines

Week 12

Week 13

Week 14

Week 15

BUSINESS ANALYTICS - SUPER SPECIALIZATIONDURATION : 15 WEEKS (Recorded)

SPECIALIZATION

?

40

Module 35: Time series analysis

Module 36: Logistic regression

Module 31: Introdcution to predictive models

Module 32: Understanding processes in predictive models

Module 33: ANOVA & Chi- Square test

Module 34: Correlation, Linear regression &

Multivariate Linear Regression

Module 37: K- Means Clustering

Module 38: Mini Projects

Week 16

Week 17

Week 18

Week 19

BUSINESS ANALYTICS

DURATION : 19 WEEKS (Recorded)6 MONTH CERTIFICATE PROGRAMME

?

41

Module 43: Analysing mobile customer experience

Module 44: Analysing social media analytics

Module 39: Introduction to product management & metrics

Module 40: Introduction to user digital experience

Module 41: Web analytics – A/B testing, Multivariate testing

Module 42: Analysing Competetive intelligence

Module 45: Product analytics implementation

Module 46: Product Analytics project

Module 47: Analytics Prep for Managers & Non Programmers

Module 48: Job prep for UBER, Deloitte, Mc Kinsey analytics positions (On-demand Module)

Week 20

Week 21

Week 22

Week 23

BUSINESS ANALYTICS

DURATION : 23 WEEKS6 MONTH CERTIFICATE PROGRAMME

?

42

Where do the classes take place & what are the class timings?

When do enrolments close?Enrolments close 2 weeks before a batch starting date.

Do I have to purchase any software?No, we provide necessary installation guides of the software required.

What are the specific system requirements?Big Data Foundation & Specialization: 8GB RAM, 500GB hard diskDeep Learning for NLP:4GB RAM & i3 processor

What are projects?Projects are real world datasets from companies like Nike, Yelp, Amazon, Netflix etc. that are provided to our students for themto work in groups.

FAQs

43

Track

Big Data

Big Data

Weekend

11 am - 1 pm IST

Sat & Sun | 11 am - 1 pm IST

Big DataWeek day

Fastrack

Data Science

Data Science

8 - 10 am IST

Business Analytics 8 - 10 am IST

Data ScienceTue & Thu | 9 - 11 pm IST

Sat & Sun | 8 - 10 am IST

Tue & Thu | 9 - 11 pm IST

Tue & Thu | 9 - 11 pm IST

Batch Day & Timings

Sat & Sun

FAQsWhat if I miss a class?You can access recordings of all classes on our LMS Portalfrom the week following every class.

How do I ask my doubts after the class?You can get in touch with our student support team even after class hours or can drop a mail to our teaching assistants. You can also ask your doubts in the student discussion groups.

Can I see student profiles & reviews from previous batches?Yes. Log on to our website and click on the student profile tab tosee the student profiles & reviews from previous batches.

Can I pay the course fees in installments?Yes. You can avail EMI options using the credit cards of almostevery leading bank like ICICI, Kotak Mahindra Bank, Axis Bank, HDFC etc. You can check out details about this on our website.

44

COORDINATES

Student Service [email protected]

1800-123-1260

Fasahath : [email protected] 7337360437Madhu : [email protected] 7337360431

45

Follow us on

1800-123-1260

[email protected]

www.upxacademy.com

MAKE IT BIG · PDF fileMAKE IT BIG WITH BIG DATA ANALYTICS ... Customized entertainment and music listings ... Application based learning Theory Hands-on Case study Project Dedicated

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