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Key Highlights for Practical Data Analytics Diploma Program

  • 100% Job assured program
  • Up to RM 1500 per month conditional internship offer letter from Innodatatics. Inc
  • 10 blockchain security-enabled micro-credential certificates
  • 5 industry specific real-time projects
  • 10+ hours of masterclasses from leading academician and faculty from top Business Schools
  • 100 hours of credible work integrated learning experience

Program Overview for Practical Data Analytics Diploma Program

This 6 months University certified Diploma program in Data Analytics makes you an expert by introducing you to the most influential Data processing, EDA, Descriptive analytics, analysing data to solve complex business problems, pulling the data, and storing reports & dashboards in the required format. In this course, students will be get introduced to BI tools like Power BI, Tableau, Advanced Excel, SQL/NoSQL, and Statistical programming tools Python and R programming. One will learn to deliver valuable insights from data through quantitative and qualitative approaches. Integrating the various disparate systems is at the heart of the training program.

Finally, participants can confidently face the customers and document the project solution in a manner that will help align all the business & technical stakeholders into solving the complex business problems.

360DigiTMG aims to train you with the best data analytics skills, help you gain rich-industry work experience, and get placed in world-class organisations. We aim to shape your career with industry-relevant knowledge so that you get the desired pay packages you truly deserve. 360DigiTMG is considered to be one of the best training institutes in the field of data analytics.

Overview for Practical Data Science & Deployment Specialist
Program overview

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Program Framework for
Practical Data Analytics Diploma Program

Chart your career with 9 hybrid modules and 5 industry projects designed for expanding job roles which includes fundamentals to advanced analytics and BI concepts.

This module on Python programming course is your first step towards learning the fundamentals of Python programming. In these modules, you will learn about the various components of programming which are vital concepts in computer programming. This module will teach you the fundamentals of data structures and you will learn how to create algorithms and how to test and debug Python code.

  • Python Introduction
  • Python Operators & Data Structures
  • Conditional statements, loops and functions
  • File handling, Exceptional Handling and Multithreading
  • Python Packages for Analysing the Data
  • Data Wrangling
  • Data Visualizations using Python Packages

SQL for structure database and NoSQL for unstructured database. Create tables to store data and extract specific information for data analysis for SQL and understand how to leverage the capabilities of NoSQL alongside SQL

  • What is database
  • DBMS vs RDBMS
  • DBMS Architecture
  • Three schema Architecture
  • Install SQL and PostgreSQL
  • Data Models
  • DBMS Language
  • SQL Data Types, Operators and keys
  • Structured Data vs Unstructured Data
  • SQL Commands, Types of queries(DML, DCl, DDL, TCL)

This module the student will learn all about CRISP - ML(Q) the perfect project management methodology used for handling data analytics projects. Understand the entire process flow including business problem definition, data collection, data cleansing, feature engineering, feature selection, model building, deployment and maintenance. Learn to Articulate the business problem by understanding the client/customer requirements.

  • Introduction to Big Data & Analytics using Pyspark
  • CRISP - ML(Q)
  • Data Understanding
  • Stages of Analytics
  • Exploratory Data Analaysis (EDA)
  • Feature Engineering such as Encoding, Dummy Variable Creation etc
  • Data Cleaning / Preparation - Missing Values Imputation Techniques
  • Outlier Analysis/Treatment
  • Types of Data based on Structure (Structured versus Unstructured vs Semi-Structured Data)
  • Inferential Statistics (Transformations, Normalization / Standardization, Discretization)
  • Analysing the Time series data (Cross Sectional versus Time Series vs Panel / Longitudinal Data)
 

This module will teach how to bring data alive through data dashboards, graphs, charts, interactive reports, and visual representations with the help of Power BI. Participants will process unrelated sources of data into coherent, interactive, and visually immersive insights. And master storyteller with the data visualisation using Power BI training.

  • High level Master Modules
  • Introduction to Power Bi
  • Power BI Desktop
  • Data Modelling & DAX
  • Data Visualizations
  • Power BI Q&A and Data Insights
  • Power BI Report Server
  • Advanced Analytics
  • Final Exam
  • Coursework -Offline assignments
  • Capstone Project

This module on Data Viz focuses on a toolTableau that has been in the Leader’s Quadrant in Gartner’s Magic Quadrant for many years. In this module, the participants will also learn how to discover patterns in data, create stories, dashboards, and workbooks, and optimise database queries. The course will also expose students to the analytical capabilities of Tableau Desktop that is used to create and share views.

  • Data Visualization principles and concepts
  • Tableau architecture, including the most important processes
  • Data Generation and Data Collection
  • Data Cleansing/Data Preparation
  • Exploratory Data Analysis using in-built options and default visualizations in Tableau
  • Feature Engineering/Feature Engineering and Selection
  • Conduct data extraction and data blending with multiple data sources
  • Tableau filtering options, groups, sets and calculations, LOD expressions
  • Charts in the latest version of Tableau Desktop
  • Tableau calculated fields and advanced reporting concepts
  • Tableau maps, dashboards and stories

This is a beginner level course which will teach the participants to create an account, implement tracking code, reports etc. Learner will be able to navigate the analytics data report, dashboards and shortcuts. Will teaches you to analyse your customer behaviour, patterns, set up goals and campaign tracking.

  • Introduction to Google Analytics
  • Data collection and pre processing
  • Web Analytics: Understanding and Using Google Analytics Data
  • Collecting Actionable Data with Google Analytics
  • Live Reports and Creating Dashboards
  • Navigating advanced Google Analytics Reports
  • Ecommerce Analytics
  • Google Tag Manager
  • Google Analytics 360 - Campaign Manager, Ad manager, Integration
 

This Data Analytics using Excel module will take you through the simpler and complex formulas of Excel that will help you in processing data and storing it. Data Analytics tools needed for solving complex problems in the work atmosphere. Students get a good understanding of predictive and descriptive analysis with a deeper knowledge of how to perform data cleansing and categorization.

  • Statistical analysis using Excel
  • Business moments
  • Graphical techniques using Excel
  • Hypothesis testing using Excel
  • Data validation and creating charts
  • Pivot tables
  • Conditional, look up and text bases functions

In this module participants will learn to adopt a digital-based business approach leading to productivity and sustainability of the business using cloud services like AWS. Learn to establish scalable infrastructure on the AWS cloud platform, and develop live reports from streaming data to take proactive business decisions.

  • Introduction to AWS
  • Data Analytics
  • Databases used in Data Analytics • Data Collection in AWS
  • Kinesis
  • Storage in AWS
  • AWS DynamoDB
  • Processing Data in AWS
  • Analysis in AWS
  • Visualization in AWS
  • Amazon QuickSight for visualizing data
  • Security

This Big Data & Analytics using Pyspark module will teach participants how to derive insights from the big data using the distributed framework 'Apache Spark. They will be able to extract the data & preprocess it using Spark to generate & publish reports using BI.

  • Super-Fast Apache Spark
  • Components of Apache Spark
  • Spark Unified stack
  • Big Data Cleaning and Wrangling with Spark
  • Data Visualization: Aggregating and Summarizing Data into Useful Reports
  • Powerful Exploratory Data Analysis with MLlib
  • Spark SQL Primer
  • Integrating External Tools with Spark SQL
  • Introduction to the Data Lakehouse
 
 

Design an Entity Relation Ship Diagram for Database creation for a Logistics Company.

 

Programming Languages and Software Tools

Programming Languages and Software Tools

Key Benefits

Integration between the tools is covered in detail.

Programming Languages and Software Tools
Programming Languages and Software Tools

The 360DigiTMG's Advantage

Scholarships
Scholarships up to 10%

 

Our program advisors shall help you save more
Assistance in building
Assistance in building a digital portfolio

 

To suit all fields of the data analytics spectrum
Resume prep sessions
Resume prep sessions

 

To learn to customise your profile for 5 different domains
Mock interview session
Mock interview session

 

Module-level simulation of an actual job interview with industry experts
Paid internship
Paid internship

 

Up to RM 1500 per month paid internship upon successful completion of training

Fee Structure for Practical Data Analytics Diploma Program

Total Program Fee

RM 5900


Hybrid Mode Training
Combination of Virtual and eLearnings

APPLY NOW

Instalments as low as RM 1043 per month


Fee break up with installments
Application Fee
(Not included in the fee)
Single Shot Payment
(10% discount)
Standard Instalments Credit Card Instalments
Application fee RM 100 RM 5310 RM 3127
Day 0 (No cost EMI)
RM 1043 per month
6 months
(No Cost EMI)
RM 3127
Day 60 (No cost EMI)

What is the prime advantage of joining this Practical Data Analytics Diploma Program?

The prime advantage of a program is the ability to complete 10 courses each of 1-2 months duration in 6 months. The cost of the program is far lower than that of a university Masters Program. Also since you are specialising in multiple domains you can apply for a variety of job roles in data science at the end of the course. Your employability and knowledge levels will be higher than the competition.

Online Courses

Flexibility -
Full-time coding courses Up to 400 hours
Time commitment 6 to 12 months
Coursework (practical) data analytics
Pre & Post course support data analytics
Industry Specific Curriculum data analytics
Exposure to Domain Skills data analytics
Team studies data analytics
Life time learning support -
1-1 mentoring data analytics
Cost of Investment -

Academic Degree

Flexibility data analytics
Full-time coding courses >600 hours
Time commitment 2-4 years
Coursework (practical) data analytics
Pre & Post course support -
Industry Specific Curriculum Upto 50%
Exposure to Domain Skills data analytics
Team studies -
Life time learning support data analytics
1-1 mentoring data analytics
Cost of Investment Up to RM 50,000

360DigiTMG 3D program

Flexibility Live, self-paced learning
Full-time coding courses 120 hours
Time commitment 6 Months
Coursework (practical) data analytics
Pre & Post Couse support data analytics
Industry Specific Curriculum data analytics
Exposure to Domain Skills Up to 20 Domain Analytics Use cases
Team studies data analytics
Life time learning support data analytics
1-1 mentoring data analytics
Cost of Investment < RM 3500(earn back RM 3000 through internships)
Online Courses Academic Degree 360DigiTMG 3D program
Flexibility - data analytics Live, self-paced learning
Full-time coding courses Up to 400 hours >600 hours 120 hours
Time commitment 6-12 Months 2-4 years 6 Months
Coursework (practical) data analytics data analytics data analytics
Pre & Post course support data analytics - data analytics
Industry Specific Curriculum data analytics Upto 50% data analytics
Exposure to Domain Skills data analytics data analytics Up to 20 Domain Analytics Use cases
Team studies data analytics - data analytics
Life time learning support - data analytics data analytics
1-1 mentoring data analytics data analytics data analytics
Cost of Investment - Up to RM 50,000 < RM 3500(earn back RM 3000 through internships)

Advisory Panel and Facilitators

Faculty and Mentors
Bharani Kumar Depuru

Program Director

CEO & Founder - 360DigiTMG

Faculty and Mentors
Sharat Chandra Kumar

Data Scientist - Research in Analytics,

Big Data & Deep Learning

Faculty and Mentors
Lavanya Gade

Program Advisor

Malaysia

Faculty and Mentors
Dr. Nagendra P (PhD)

Analytical Research and

Development Senior Scientist

Faculty and Mentors
S Swaroop

Director

360DigiTMG, USA

Faculty and Mentors
Bhargavi kandukuri

Senior Business Analyst

Malaysia

Faculty and Mentors
Deepthi Gonela

Data Scientist

360DigiTMG, India

Faculty and Mentors
Dr. Sreedeepthi (PhD)

Global Solution Delivery Manager,

Novartis Ireland Ltd.

Advisory Panel and Facilitators

Faculty and Mentors
Bharani Kumar Depuru

Program Director

CEO & Founder - 360DigiTMG

Faculty and Mentors
Sharat Chandra Kumar

Data Scientist - Research in Analytics,

Big Data & Deep Learning

Faculty and Mentors
Lavanya Gade

Program Advisor

Innodatatics, Malaysia

 
Faculty and Mentors
Dr. Nagendra P (PhD)

Analytical Research and

Development Senior Scientist

Faculty and Mentors
S Swaroop

Director

360DigiTMG, USA

Faculty and Mentors
Bhargavi kandukuri

Senior Business Analyst

Innodatatics, Malaysia

Faculty and Mentors
Deepthi Gonela

Data Scientist

360DigiTMG, India

Faculty and Mentors
Dr. Sreedeepthi (PhD)

Global Solution Delivery Manager,

Novartis Ireland Ltd.

Career Transition Stories

We have >78% placement success rate for our students across the globe,

DOWNLOAD SUCCESS STORIES

1000+ students per year trust our programs without conditional offer letters or paid internships and successfully completed the program and started working at their dream jobs. Now it's latched with 100% JOB ASSURANCE and RM 1,500/month Conditional JOB OFFER, What's stopping you?

+60
This program is applicable only for Malaysian citizens and form is valid for active mobile numbers

Accredited and Globally Recognized Certificates

Diploma in Data Analytics

The State University of New York, (in simple terms SUNY), which has 64 institutions, is the largest comprehensive university system in the (US) United States, including research universities, academic medical centers, liberal arts colleges, community colleges, colleges of technology and an online learning network.

  • #78 in Regional Universities North (tie)
  • #32 in Best Colleges for Veterans (tie)
  • #64 in Best Value Schools

A prestigious top ranked university certification with roots going back to the 1840s.

SUNY

Practical Data Analytics Professional Certificate Course

  • Blockchain enabled tamper-proof security certificates for each module
  • Specialist trainers – greatly experienced industry experts and professors from B-schools and premier engineering
  • Reputed institute – has a history of training more than 10,000 students and 20,000 professionals from across the globe
  • Certifications demonstrate the student’s commitment to the profession and motivation to learn. Instil the employer’s confidence in you and catch the attention of recruiters with these certificates.
  • Blended approach – classes in our 3+ direct centers, classroom & virtual interactive
360DigitMG

All samples shown are for illustration purposes only. Actually certificate might vary based on course enhancements and awarding body.

Prerequisites

To be eligible for Practical Data Analytics Program, you should meet the following

Prerequisites - 360digitmg

Hold minimum Bachelors or Diploma from any accredited institution with minimum 60% academic score

Prerequisites - 360digitmg

College degree in STEM related fields. Science / Statistics / Mathematics / IT / Physics / Software Technology & Business

Prerequisites - 360digitmg

Knowledge on MS Office

Prerequisites - 360digitmg

To clear entrance exam with 360DigiTMG with 50% score

Additionally you need to have


Prerequisites - 360digitmg

Good communication skills

Prerequisites - 360digitmg

Valid ID proof

Prerequisites - 360digitmg

All academic certificates

Prerequisites - 360digitmg

NO

programming
knowledge required

Admission Process & Enquiry form

  • Step - 1
    Fill in application form
    ​​Apply today by filling the application form
  • Step - 2
    Assessment test, verification & documentation
    Take an entrance test. This test is to assess your analytical & quantitative aptitude to ensure you are ready for the program
  • Step - 3
    Receive course offer letter from 360DigiTMG & SUNY
    Once shortlisted you will receive confirmation letter for the Diploma in Data Analytics
  • Step - 4
    Signing, enrolments and payments
    Block your seat by paying your course fee. You have 5 days to complete the enrolments from date of offer or intake start date whichever is earlier
  • Step - 5
    Block your calendar and kick start your learning journey
  • Step - 6
    Get hired

Book Slot for
Career Counselling

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Robust Training Methodology

data analytics
  • By pre-assessment
  • Customise course
  • Classroom Training & Online Training
  • Post-assessment
  • Free Project Support for company trained staff
  • Self-paced learnings (LMS) - Learn at your convenience and recorded sessions to catch up on missed classes
  • Quizzes to assess readiness Group Discussions
  • Buddy System with private meeting rooms among the participants to help each other
  • Final Exam and assignments
  • Industry use cases and real time projects
faq pointers - 360digitmg

Why are Analytics Internships important for professionals?

Internships are an ideal way to kick-start a career in any sector. However, for professionals to work in data-driven analytics, it is also beneficial to have relevant experience and knowledge of the domain. Therefore, an internship in analytics would be a potent add-on to starting a career in data analytics. You will get familiar with the latest data science tools and technologies and gain experience working on industry-level projects, which will ultimately help you advance in your career.

faq pointers - 360digitmg

What will be the salaries for Data Analytics in Malaysia?

Salary for any field depends on your training, skills, and experience, and the same with the Data Analytics field. Freshers might have a basic pay of around RM 3,777 per month, and experienced will have a minimum salary of RM 6000 - 9000. The salary in Malaysia depends on your country and the training institute you have certified. Japanese or Indians get a handsome salary, the same for local Malaysians.

faq pointers - 360digitmg

How to get jobs in the Data Stream industry through 360DigiTMG?

A data scientist's work is intellectually challenging, technologically advanced, and rewarding. Those considering data science for their career tune in to 360DigiTMG course training. All you need to do is start enroll in your subject, take classes, complete assignments, accomplish the final project, and get certification to build your resume. Then, start applying for the jobs with the skills gained by us. Therefore, the job is assured!

faq pointers - 360digitmg

What will be the career track for Analytics?

Becoming a data analyst is a stellar career option if you're looking for something stable and long-term. Depending on your goals and objectives, you could advance into data science, management, consulting, or a more specialized data career. As a data analyst, you can make a high salary and work in various areas, including food, technology, business, the environment, and the public sector. You can build a long and successful career in this field with the relevant skills and training.

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