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Big Data Training for Managers

Gain a high-level understanding of Big Data in the recently introduced course, ‘Big Data for Managers’. Guide data-driven projects with new-age technologies and gain more confidence.
  • Get Trained by Trainers from ISB, IIT & IIM
  • 16 Hours of Interactive Online Sessions
  • 40+ Hours of Practical Assignments
  • 2 Capstone Live Projects
  • Job Placement Assistance
big data & analytics course reviews in India - 360digitmg
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big data & analytics course reviews in India - 360digitmg
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Academic Partners & International Accreditations
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  • Machine Learning course with nasscomm
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  • Big Data Training for Managers Certification Course with NEF

"The Big Data Analytics market in India is currently valued at $2 billion and is expected to grow at a CAGR of 26% reaching approximately $16.1 Billion by 2025. Big Data is one such technology that is reaching great heights and is gaining momentum with organizations worldwide that are making huge use of Big Data to stay ahead in the competitive market. Big Data experts have a good grasp of tools and technologies that help them solve real-world Big Data problems especially related to human behavior and interactions. Organizations like Google, Apple, Adobe, Salesforce, and so on are investing in Big Data and are hiring Managers and Data Analysts with strong knowledge and experience in Big Data. The epoch of Big Data has drastically changed and the need for systems to perform efficiently has also accelerated recently and so have the ways to store and process it using appropriate data ingestion tools. These tools help in loading and modification of individual files which are then formatted for analytics and storage purposes. Two such popular tools are Apache Hadoop and Spark which we will be exploring in this course on Big data for Managers in India.

Big Data

Program Cost

INR 33,700 23,600/-

Big Data Certification Course Programme Overview

Gain a high-level understanding of Big Data in the newly introduced course, Big Data for Managers. Guide data-driven projects with more confidence. Team leaders and managers with no prior knowledge or experience of working with unstructured data can hugely benefit from the course, Big Data for Managers. The two-day Big Data Analytics course provides professionals the essential know-how to lead projects that are getting increasingly data-driven. They will receive an introduction to the Hadoop framework and how to best glean insights from an unstructured data environment. On completion of this course, professionals with no programming experience will know how to guide teams in Big Data implementation for greater business success.

What is Big Data?

Big Data is an assemblage of data that is big in volume, velocity, and variety so much so that traditional data management tools are not able to accumulate it or process it productively. This data can come from any source be it stock exchange, social media where this data is generated as photo, video uploads, comments, messages, etc. This data can be found in various forms like Structured, Unstructured, or Semi-structured. Data stored and processed in a fixed format is termed as 'structured' data, an example would be a ‘Students’ table in the database of a school. Data that comes in a raw or unknown form is termed as unstructured data, an example of unstructured data would be images and videos. Semi-structured data is data that does not follow any formal structure but contains tags or other properties that make it easier to analyze. An example of this type of data would be data stored in an XML file.

Big Data Training Learning Outcomes

Big data refers to technologies that handle diverse and massive data whose volume, velocity, and variety are high. Organizations leverage Big Data to improve their business operations, supply better customer service, build personalized marketing campaigns that are based on customer preferences, and, ultimately, increase profitability. In this course on Big Data for managers, one would explore the challenges and emerging applications involved in the storage and processing of Big Data. Students will exhibit their skills in data management and learn about the different types of data, structured, unstructured, and semi-structured. They will also develop an understanding of the various stages of Big Data Analytics and the application of big data computing techniques and technologies. You will gain a strategic overview of a Big Data project landscape and what are the requirements to implement Big data and analytics strategies in one’s workplace. You will learn big data technology that includes data storage, analytical engines, and resource management with the help of real case studies, that help reinforce the concepts. This course is specially designed for (project) managers and executives who wish to understand how big data can strategically benefit their organization and how big data technology is different from traditional technology. You will also be able to recognize various big data solution stages and choose the appropriate tool for big data ingestion.

Make use of various data generation sources
Move or Ingest Data from a traditional to a Big Data system
Understand different layers of the Big Data Architecture
Know the advantages of Big Data Analytics on Structured and Unstructured Data
Understand the stages of Big Data Analytics and data flow in the tech stack

Block Your Time

big data for managers - 360digitmg

16 hours

Live Sessions

big data for managers - 360digitmg

40 hours


Who Should Sign Up?

  • IT heads
  • Decision-makers
  • Analytics Managers/Professionals
  • Business Analysts
  • Software Developers
  • Interested to learn about Big Data
  • Interested in mid-career change to Big Data Analytics

Big Data Predictive Analytics Modules

This module commences with an introduction to Hadoop and its ecosystem tools and Spark. Hadoop is an open-source tool that stores and processes Big Data. Reliability, flexibility, and scalability are some of the important features of Hadoop. Next, they will learn about the Big Data Analytical tools and techniques used to analyze Big Data to uncover hidden patterns and discover correlations in the data. This enables cost-reduction and helps us to design better quality products and services along with making better decisions. The module also demonstrates the features of Apache Spark and its Ecosystem. Students will also learn to work with RDD in Spark and use the MLlib feature in Spark. The concluding modules will handle Big Data technologies and explain the advantages of Cloud infrastructure along with the use cases of Big data analytics.

Introduction to Big Data and its tools is mandatory for decision-makers. Understanding the needs and challenges of Big Data technology, during implementation and the know-how of moving the organization from traditional data storage sources to big data is pivotal for business success.

Learn about the open-source distributed computing framework developed to handle Big data. Hadoop framework makes the developer’s job very easy by managing the resources & the data in the cluster automatically. This gives the developers the freedom to focus on the business rather than the infrastructure. Hadoop is a very easy plug & play architecture that can be scaled up as the requirement increases. There are a lot of High- level projects developed on top of Hadoop to take advantage of the distributed framework of Hadoop. Learn about these features & the tools used predominantly in the industry to handle huge amounts of complex data.

If businesses have to survive and excel then they have to adopt technology & leverage on Big data. Analytics is a study to process the data & derive hidden truths/insights to provide the management a chance to mitigate the risk by predicting these risks upfront & also enhance customer satisfaction and retention. In order to churn a huge amount of complex data generated by enterprises, specialized tools are required. Tools which are capable to handle the real-time data which can be of any form structured or unstructured and of huge size.

Apache Spark is a new age tool that is a distributed computing framework designed to attain speeds that are lacking in MapReduce framework tools. Spark achieves the speed by keeping the data in-memory as much as possible on the cluster nodes. Spark is also known as a Unified stack and it has language flexibility. Learn about the libraries used for using Spark with Python (PySpark) and R (Spark). Understand the detailed functionality of Spark components: Spark Core, Spark SQL, Spark Streaming, Graphix, and MLlib. Learn about the unique data abstraction of Spark known as RDD and Spark operations on RDD’s.

Big data is a word that describes the sheer size of the data and the complexity of handling the data. It can be described using 4 Vs: volume, variety, velocity, and veracity. The traditional tools and techniques are not sufficient to deal with the complex huge and varied types of data in real-time. We need specialized tools designed to handle Big data for enterprises. The majority of these tools are open source and free to explore by any individuals. Understanding the Big Data tools and technology will help you in taking necessary steps when required to assist the business take advantage of the humongous amount of data available.

Cloud service is one of the hottest trends which has many advantages compared to traditional in house servers. Cloud computing is a technology to share unlimited computer resources over the internet instead of maintaining personal resources or in-house servers to run services. Cloud computing can be explained as service to store, process and access data through the internet. Cloud platforms have many advantages like cost Savings, high Speed, back-up and restore data, automatic software integration, reliability, and the most important for Big data is unlimited storage capacity. Cloud Infrastructure is the perfect fit for the requirements of Big data.

Businesses across the globe are increasingly focusing on taking advantage of deriving answers from the past. Big data analytics projects are initiated to solve business problems. Trying to dig into huge amounts of organization data to find patterns or hidden anomalies will give actionable insights. Analyzing Big data can boost enterprise sales, increase their efficiency, and improve operations, customer service, customer satisfaction, customer retention, and risk management. This will help enterprises to gain a competitive advantage over others. Learn about applications of Big Data Analytics in various sectors which give a huge commercial benefit to the businesses.

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Big Data for Manager
Big Data for Managers
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  • Big Data for Managers course in India
    Additional assignments of over 40+ hours
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    Job assistance in Big Data for Managers fields
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    Complimentary Courses
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    Unlimited Mock Interview and Quiz Session
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Big Data for Managers Panel of Coaches

big data analytics certification trainers - 360digitmg

Bharani Kumar Depuru

  • Areas of expertise: Data analytics, Digital Transformation, Industrial Revolution 4.0
  • Over 18+ years of professional experience
  • Trained over 2,500 professionals from eight countries
  • Corporate clients include Deloitte, Hewlett Packard Enterprise, Amazon, Tech Mahindra, Cummins, Accenture, IBM
  • Professional certifications - PMP, PMI-ACP, PMI-RMP from Project Management Institute, Lean Six Sigma Master Black Belt, Tableau Certified Associate, Certified Scrum Practitioner, (DSDM Atern)
  • Alumnus of Indian Institute of Technology, Hyderabad and Indian School of Business
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big data analytics 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 18+ 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.
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data scientist trainers

Bhargavi Kandukuri

  • Areas of expertise: Business analytics, Quality management, Data visualisation with Tableau, COBOL, CICS, DB2 and JCL
  • Electronics and communications engineer with over 19+ years of industry experience
  • Senior Tableau developer, with experience in analytics solutions development in domains such as retail, clinical and manufacturing
  • Trained over 750+ professionals across the globe in three years
  • Worked with Infosys Technologies, iGate, Patni Global Solutions as technology analyst
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big data certification for managers - 360digitmg


Get noticed for your domain-specific analytics skills with the Big Data for Managers Certification Programme. Show your commitment to match skills to future industry needs.

Alumni Speak

Pavan Satya

"The training was organised properly, and our instructor was extremely conceptually sound. I enjoyed the interview preparation, and 360DigiTMG is to credit for my successful placement.”

Pavan Satya

Senior Software Engineer

Chetan Reddy

"Although data sciences is a complex field, the course made it seem quite straightforward to me. This course's readings and tests were fantastic. This teacher was really beneficial. This university offers a wealth of information."

Chetan Reddy

Data Scientist

Santosh Kumar

"The course's material and infrastructure are reliable. The majority of the time, they keep an eye on us. They actually assisted me in getting a job. I appreciated their help with placement. Excellent institution.”

Santosh Kumar

Business Intelligence Analyst

Kadar Nagole

"Numerous advantages of the course. Thank you especially to my mentors. It feels wonderful to finally get to work.”

Kadar Nagole

Data Scientist

Gowtham R

"Excellent team and a good atmosphere. They truly did lead the way for me right away. My mentors are wonderful. The training materials are top-notch.”

Gowtham R

Data Engineer

Wan Muhamad Taufik

"The instructors improved the sessions' interactivity and communicated well. The course has been fantastic.”

Wan Muhamad Taufik

Associate Data Scientist

Venu Panjarla

"The instructors went above and beyond to allay our fears. They assigned us an enormous amount of work, including one very difficult live project. great location for studying.”

Venu Panjarla

AVP Technology


Our Alumni Work At

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FAQs for Big Data For Managers in India

Data that is so large that it cannot be handled by traditional tools that are being used in the market.

Big Data professionals are the most sought after in the present world. They earn more than other software professionals. You can apply for roles that ask for knowledge and skills in Big Data tools and technologies. However, job titles may differ from company to company such as Big Data developer or Big Data analyst.

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.

No. You need not pay separately for the certification.

You will be assigned a trainer who will mentor you and guide you subsequent to the training. The trainer will guide you personally and clarify all doubts.Our research associates will also be available to resolve your doubts.

Our faculty is our key strength. All our instructors are professionals with 10-15 years of experience in various domains. We handpick them for their subject matter expertise, level of experience, and passion and talent for training. All our trainers are recognised as among the best faculty in the industry.

Jobs in the field of Big data for Managers in India

Jobs in the Field of Big Data Analytics in India

The options for the Big Data job aspirants are many and some of the job roles open for Big Data professionals are Data Engineer, Analytics Consultant, Business Analyst, Business Intelligence Engineer, Machine Learning Expert, Big Data Solution Architect, Solution Architect.

Salaries in India for Big Data for Managers

Salaries in India for Big Data Professionals

The most important factor in determining the salary of a Big Data Engineer in India is his acquired skillset. The average pay of a Big Data Engineer in India can range between Rs 5,84,790 - Rs 14,12,246 and a Data Engineer with Data Analysis Skills can get somewhere between Rs 7,02,934 - Rs 19,02,934.

Big Data for Managers Projects in India

Big Data Projects in India

Projects are an essential part of one’s professional growth as they boost knowledge, skills, and confidence. One can work on projects related to Text Mining, Cybersecurity, Healthcare Prediction, detecting anomalies in cloud servers, or the area of recruitments in HR involving Big Data profiles. etc.

Role of Open Source Tools in Big Data for Managers

Role of Open Source Tools in Big Data

The open-source tools in Big Data are used to analyze big data and derive significant value out of it. The most influential and accepted Data collection and analysis tools that we will learn here that help analyze big data are Apache Hadoop and Spark.

Modes of Training for Big Data for Managers

Modes of Mraining for Big Data for Managers in India

The course in India is designed to suit the needs of students as well as working professionals. We at 360DigiTMG give our students the option of online learning. We also support e-learning as part of our curriculum.

Industry Application of Big Data for Managers

Industry Applications of Big Data

Big Data helps improve performance and offers more business benefits to organizations. It is leveraged in the various industrial applications in the field of Scientific and Technical Services, Information Technology, Manufacturing, Finance and Insurance, sales, marketing, research, and development.

Companies That Trust Us

360DigiTMG offers customised corporate training programmes that suit the industry-specific needs of each company. Engage with us to design continuous learning programmes and skill development roadmaps for your employees. Together, let’s create a future-ready workforce that will enhance the competitiveness of your business.


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