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Data Science using Python and R Programming

Leapfrog your career in Analytics with "Data Analytics using Python and R programming" course. Gain hands on experience on performing Exploratory Data Analysis and Data Mining using Python and R. Learn how Machine Learning algorithms can help extract useful business insights and achieve data-driven decision-making.

Live Online Instructor-led training: 48 hours

Data Science Training Overview

The Certification Program in Data Analytics using Python and R provides an detailed introduction on how to use Python and R to programmatically interrogate structured (RDBMS) and unstructured (Big Data) data. Understand the different types of machine learning techniques like supervised and unsupervised learning. Get introduced to various black-box techniques like Neural Networks, SVM and present your findings with lucid and attractive Data Visualization techniques.

Course Details

Data Science Course 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 Visualisation concepts to represent data for easy understanding

The global focus has shifted towards the field of data science and the average salary for a Data Scientist is $123735 per year in United States.

(Source - https://www.glassdoor.com)

Block Your Time

data science course - 360digitmg

48 hours

Classroom Sessions

data science training - 360digitmg

80+ hours

Assignments &
e-Learning

data science course duration - 360digitmg

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

Data Science

data science course duration - 360digitmg

Total Duration

3 Months

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Prerequisites

  • Computer Skills
  • Basic Programming Knowledge
  • Analytical Mindset

Tools Covered

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The big story of the past decade is the explosion of data – a.k.a., ‘big data’ and how that is disrupting enterprises across all domains. As we step into the new decade, enterprises are focusing more on becoming data-driven by leveraging Data Analytics tools and techniques. With such focus on advanced analytics capabilities, companies are searching for individuals who possess these skills to help in their vision. The Data Analytics training by 360DigiTMG is an effort to reduce this skill gap. In USA, the big-data adoption of enterprises shot up by 59% in 2018 alone and this trend is poised to continue in 2020 and beyond. Participants of this training can aim to seem employment in some of the hottest job markets in USA – including the silicon valley.

 

USA is the home of innovation with some of the best and bright minds living here. There are a lot of start-ups and research centers in this country which craves and embraces innovation. In addition to being a technologically advanced nation, it is also a potpourri of varied cultures and cuisines. That makes this country a truly unique place in world, with cuisines from across the world.

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Limited seats available.

Book now to avoid disappointment.

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Data Scientist Course Panel of Coaches

bharani kumar - 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 >
 
sharath - data science trainer - 360digitmg

Sharat Chandra Kumar

  • Areas of expertise: Data sciences, 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 >
 
data science trainer - Nithin - 360digitmg

Nitin Mishra

  • Areas of expertise: Data sciences, 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 at 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 science 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 Science Certificate is your passport to an accelerated career path.

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FAQs for Data Science Bootcamp

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. If you satisfactorily complete the attendance and assignments,
you will have the opportunity to work for a real world project through Innodatatics, USA.

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 - Ai SPRY.

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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