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Data Analytics using Python and R Programming

Fast-track your career with "Data Analytics using Python and R programming". Use Python and R to perform Exploratory Data Analysis and Data Mining on Big Data. Master Machine Learning, Neural Networks, Descriptive/Predictive modelling with Python and R for better business decision making.

On-campus training in Malaysia: 48 hours

Calendar-On-Campus Classes

  • 02nd
    -
    06th
    March
  • 9:00 AM - 6:00 PM
    Timings
  • 21st
    -
    05th
    March
  • 9:00 AM - 6:00 PM
    Timings

Data Science

data analytics course duration - 360digitmg

Total Duration

3 Months

data analytics course pre-requisite - 360digitmg

Prerequisites

  • Computer Skills
  • Basic Mathematical Concepts
  • Analytical Mindset

Data Analytics Certification Programme Overview

This certification program provides an overview of how Python and R programming can be employed in Data Mining of structured (RDBMS) and unstructured (Big Data) data. Comprehend the concepts of Data Preparation, Data Cleansing and Exploratory Data Analysis. Perform Text Mining to enable Customer Sentiment Analysis. Learn Machine learning and developing Machine Learning Algorithms for predictive modelling using Regression Analysis. Assimilate various black-box techniques like Neural Networks, SVM and present your findings with attractive data visualization techniques.

Course Details

Data Analytics Training Learning Outcomes

Work with various data generation sources
Perform Text Mining to generate Customer Sentiment Analysis
Analyse Structured and Unstructured data using different tools and techniques
Develop an understanding of Descriptive and Predictive Analytics
Apply data-driven, Machine Learning approaches for business decisions
Build prediction models for day-to-day applicability
Perform forecasting to take proactive business decisions
Use Data Visualization concepts to represent data for easy understanding

With the advent of Industry 4.0 where Artificial Intelligence will replace many present jobs, anything related to Data Analytics, Information Technology, and Robotics are good fields to venture into.

(Source - MIHRM)

Block Your Time

data analytics course in malaysia - 360digitmg

48 hours

Classroom Sessions

data analytics training in malaysia - 360digitmg

80 hours

Assignments &
e-Learning

80 hours

Live Projects

Who Should Sign Up?

  • IT Engineers
  • Data and Analytics Manager
  • Business Analysts
  • Data Engineers
  • Banking and Finance Analysts
  • Marketing Managers
  • Supply Chain Professionals
  • HR Managers
  • Math, Science and Commerce Graduates

Tools Covered

data analytics using python data analytics using r programming data analytics using r studio

Data Analytics Training in Malaysia has gathered steam and will evolve in the years to come. The advent of Big Data has led to a data explosion of sorts. Big Data Analytics has opened myriad opportunities for students and working professionals. The Data Analytics Certification Program includes an introduction to foundation Data analytics as well as Advanced Data Analytics using Python and R programming. Students who complete this course can command very high salaries in Malaysia and other countries. Python which is the top programming tool and R which is second best allows you to accomplish a lot of routine data analytics tasks with ease.

 

Malaysia with its peninsular mainland in the South - Eastern part of Asia is rich in Flora & Fauna. It is one of the fastest-growing economies and has embraced emerging technologies from around the globe. Many industries in the federal capital region of Kuala Lumpur are now using advanced Data Analytics for their business operations. Petronas, the leading company in Kuala Lumpur has been using Data Analytics for quite some time. Analytics professionals with knowledge for Python and R are now very much in demand because businesses are obsessed with Data Analytics is driven decision making.

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data analytics course module - 360digitmg

Data Analytics Panel of Coaches

agile certification trainers - 360digitmg

Bharani Kumar Depuru

  • Areas of expertise: Data Analytics, Digital Transformation, Industrial Revolution 4.0.
  • Over 14+ years of professional experience.
  • Trained over 2,500 professionals from eight countries.
  • Corporate clients include Hewlett Packard Enterprise, Computer Science Corporation, Akamai, IBS Software, Litmus7, Personiv, Ebreeze, Alshaya, Synchrony Financials, Deloitte.
  • Professional certifications - PMP, PMI-ACP, PMI-RMP from Project Management Institute, Lean Six Sigma Master Black Belt, Tableau Certified Associate, Certified Scrum Practitioner, AgilePM (DSDM Atern).
  • Alumnus of Indian Institute of Technology, Hyderabad and Indian School of Business.
Read More >
 
agile certification trainers - 360digitmg

Sharat Chandra Kumar

  • Areas of expertise: Data Science, Machine Learning, Business Intelligence and Data Visualisation.
  • Trained over 1,500 professional across 12 countries.
  • Worked as a Data Scientist for 14+ years across several industry domains.
  • Professional certifications: Lean Six Sigma Green and Black Belt, Information Technology, Infrastructure Library.
  • Experienced in Big Data Hadoop, Spark, NoSQL, NewSQL, MongoDB, R, RStudio, Python, Tableau, Cognos.
  • Corporate clients include DuPont, All-Scripts, Girnarsoft (College-dekho, Car-dekho) and many more.
Read More >
 
agile certification trainers - 360digitmg

Nitin Mishra

  • Areas of expertise: Data Science, Machine Learning, Business Intelligence and Data Visualisation.
  • Over 20+ years of industry experience in Data Science and Business Intelligence.
  • Trained professionals from Fortune 500 companies and students from prestigious colleges.
  • Experienced in Cognos, Tableau, Big Data, NoSQL, NewSQL.
  • Corporate clients include Time Inc., Hewlett Packard Enterprise, Dell, Metric Fox (Champions Group), TCS and many more.
Read More >
 
data analytics course certification - 360digitmg

Certificate

Earn a certificate and demonstrate your commitment to the profession. Use it to distinguish yourself in the job market, get recognised at the workplace and boost your confidence. The Data Analytics Certificate is your passport to an accelerated career path.

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FAQs for Certification in Data Analytics

While there are a number of roles pertaining to Data Professionals, most of the responsibilities overlap. However, the following are some basic job descriptions for each of these roles.

 

As a Data Analyst, you will be dealing with Data Cleansing, Exploratory Data Analysis and Data Visualisation, among other functions. The functions pertain more to the use and analysis of historical data for understanding the current state.

 

As a Data Scientist, you will be building algorithms to solve business problems using statistical tools such as Python, R, SAS, STATA, Matlab, Minitab, KNIME, Weka etc. A Data Scientist also performs predictive modelling to facilitate proactive decision-making. Machine learning algorithms are used to build predictive models using Regression Analysis.A Data Scientist has to develop expertise in Neural Networks and Feature Engineering.

 

A Data Engineer primarily does programming using Spark, Python, R etc. It often complements the role of a Data Scientist.

 

A Data Architect has a much broader role that involves establishing the hardware and software infrastructure needed for an organisation to perform Data Analysis. They help in selecting the right Database, Servers, Network Architecture, GPUs, Cores, Memory, Hard disk etc.

Different organisations use different terms for Data Professionals. You will sometimes find these terms being used interchangeably. Though there are no hard rules that distinguish one from another, you should get the role descriptions clarified before you join an organisation.

With growing demand, there is a scarcity of Data Science professionals in the market. If you can demonstrate strong knowledge of Data Science concepts and algorithms, then there is a good chance that you can carve a successful career in this domain.

 

360DigiTMG provides internship opportunities through Innodatatics, our USA-based consulting partner, for deserving participants to help them gain real-life experience. This greatly helps students to bridge the gap between theory and practice.

There are plenty of jobs available for Data Professionals. Once you complete the training, assignments and the live projects you can enroll for placement assistance. We help our students in resume preparation. Once the resume is ready we will float it organisations with whom we have formal agreements on job placements.

 

We also conduct webinars to help you with your resume and job interviews. We cover all aspects of post-training activities that are required to get a successful placement. After placement we provide technical assistance for the first project on the job.

After you have completed the classroom sessions, you will receive assignments through the online Learning Management System that you can access at your convenience. You will need to complete the assignments in order to obtain your Data Scientist certificate.

In this blended programme, you will be attending 48 hours of classroom sessions over six days on campus in Kuala Lumpur, Malaysia. After completion, you will have access to the online Learning Management System for another three months for recorded videos and assignments. The total duration of assignments to be completed online is 40-60 hours. Besides this, you will be working on a live project for a month.

If you miss a class, we will arrange for a recording of the session. You can then access it through the online Learning Management System.

We assign mentors to each student in this programme. Additionally, during the mentorship session, if the mentor feels that you require additional assistance, you may be referred to another mentor or trainer.

No. The cost of the certificate is included in the programme package.

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