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

What jobs can I apply for after completing this course?

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.

What if I miss a classroom session?

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.

Do I pay extra for the certification?

No. You need not pay separately for the certification.

What if I have queries after I complete the course?

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.

Who are the instructors?

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.

Professional Certificate Course in

Big Data Analytics Training

Launch your career in Big Data Analytics Course with a dual certification in Big Data Analytics and Data Science. Enable Big Data preprocessing with Hadoop, Spark, Pig, and Hive.

Get Trained by Trainers from ISB, IIT & IIM
72 Hours of Intensive Classroom & Online Sessions
140+ Hours Assignments & eLearning
2 Capstone Projects
Job Placement Assistance

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Academic Partners & International Accreditations

"The Big Data market is expected to grow to $80 billion making a revenue of $190 billion. 50% of jobs will be leveraging Big Data and its associated technologies by 2035." - (Source). Big Data Analytics reveals meaningful insights about the trends, correlations, and patterns that would have otherwise been hidden. It uses various techniques and technologies to uncover information from data coming from any source, size, and structure. The advent of cloud computing, Artificial Intelligence, social media, and the Internet of Things with a countless number of sensors and devices have been able to mine Big Data for predictions and value. Big Data is the key connector between emerging technologies like Machine Learning, Artificial Intelligence, and Data Science where algorithms are written and models are made to test validation and sift through data sets in search of patterns and relationships. Big data analytics course is also used to forecast customer behavior and streamline various operations.

Big Data

Program Cost

INR 33,700 23,600/-

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Big Data Analytics Course Overview

Launch your career with data science with the dual certification in Big Data Analytics and Data Science. Enable data preprocessing with Hadoop, Spark, Pig, and Hive. Leverage the power of Python and R to script machine learning algorithms and data mining algorithms. This course transforms the student into a consummate data science professional with dual certification in Big Data Analytics and Data Science. In the Big Data Analytics stream, the student will learn to use Apache Hadoop to extract data. Hive Hadoop is used with structured data and Pig Hadoop with semi-structured data. Apache Spark is used to analyze the data. In the data science stream, Python and R are used to script data mining algorithms and machine learning algorithms. Students will comprehend the use of data ingestion tools and practical applications of SQOOP. They will also learn to create compelling dashboards, stories, and maps with Tableau.

What is Big Data Analytics?

Big data analytics is a process of exploring large and diverse data sets to discover insightful information such as hidden patterns, market trends, customer behaviour, and preferences that can help organizations make precise business decisions. The data analytics technology gives the power to examine data sets and answer queries about business operations and performance. This type of advanced analytics involves intricate applications, statistical algorithms, and predictive models that are operated by high-performance analytics systems. It offers varied benefits like the opportunity for more revenue, successful marketing, better customer service, enhanced operational efficiency, and competitive advantages in the market over rivals.

Big Data Training Learning Outcomes

The various applications of Big Data enable predictive modelers, statisticians, data scientists, and other analytics professionals to analyze growing volumes of structured, unstructured, and semi-structured data that could have come from the social media content, mobile phone records, data collected by sensors connected to IoT. The main aim of this course is to help students learn, understand, and practice big data analytics and machine learning approaches for business decision-making. The course instructs the student on the various techniques used to analyze structured and unstructured data, building advanced prediction models with machine learning algorithms and data visualization. The Big Data Analytics course is the ideal course for professionals who want to acquire in-depth knowledge of Big Data frameworks. The three-month Big Data Analytics training will cover the Hadoop Distributed File System (HDFS), MapReduce, YARN, and the basics of Linux OS. Students will learn to use Pig, Hive, Python, and Scala to process and analyze large datasets stored in HDFS, and Sqoop for data migration from a relational database management system to a Big Data system. They will also be introduced to various black-box techniques like Neural Networks and SVM. The course is laden with practical case studies that enable the participants to solve complex business problems and improve profitability in their companies.

Learn about the tools and techniques used to analyse structured and unstructured data

Understand the differences between Descriptive and Predictive Analytics

Perform text mining to generate customer sentiment analysis

Use data-driven, Machine Learning approaches for business decision-making

Build prediction models for day-to-day applicability

Perform forecasting to take proactive business decisions

Learn Data Visualization concepts to represent data in suitable formats

Install and setup Hadoop and Spark environments to store and process data

Understand the advantages of distributed batch processing using the Hadoop Distributed File System

Learn about Hadoop 1.x, 2.x and 3.x versions

Perform exploratory queries on data batches using Pig, Hive and Spark

Learn Spark RDD optimisation techniques

Write programs in the Big Data domain as per the system architecture

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professional big data & analytics training - 360digitmg

72 hours

Classroom Sessions

140 hours

Assignments &
e-Learning

140 hours

Live Projects

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Who Should Sign Up?

Those aspiring to be Data Scientists, Big Data Analysts, Analytics Managers/ Professionals, Business Analysts, Data Analytics Developers.
Graduates interested in Data Science related fields.
Interested in mid-career shift to Big Data.
Academicians and Researchers.

Big Data Analytics Training Modules

Acquire essential data engineering skills in this data analytics training and develop knowledge of Hadoop Distributed File System (HDFS), MapReduce, YARN, and the basics of Linux OS. This course will empower you to employ Pig, Hive, Python, and Scala to process and analyze large datasets stored in HDFS. Also, comprehend SQOOP used for data migration from RDBMS to Big Data sets. The module on Machine Learning Training using Python and R programming includes an overview of analytical techniques used to manipulate humongous data and to derive meaningful business insights from the same. In this course, you will use Python and R to perform Regression Analysis and build Prediction Models. This is undoubtedly one of the best data analytics training courses in India.

1. Introduction to Data Science

2. Hypothesis Testing and Simple Linear Regression

3. Multiple Linear Regression, Regression of Attributes and Count Data

4. Data Mining Unsupervised and Supervised

5. Data Mining Supervised, Text Mining and Naïve Bayes

6. Black Box Technique and Time Series Analysis

7. Introduction to Hadoop

8. Hadoop Distributed File System

9. MapReduce

10. Pig

11. Hive

12. HBase

13. Sqoop

14. Spark

Trends in Big Data analytics

Big Data and Analytics are two emerging technologies that can help build a competitive advantage for the critical success of any business. The Big Data and Analytics market is projected to grow to US$ 281 billion by 2022. They are among the identified technology trends that will have the biggest impact on any business across various verticals. One of the key data analytics trends we will see is the incorporation of traditional analytics with machine learning (ML) and artificial intelligence (AI) analytics to augment everyday operational and business activities. Demand for Big Data professionals in the US will increase to 2,720,000 by 2021. 70% of all Analytics and Data Science jobs in the US are in the field of IT, Finance and Insurance, and other professional services.

India is currently among the top 10 countries in Big Data Analytics and has around 600 firms. The requirement for Data Scientists and Data Engineers is expected to reach 800,000 by 2021. The Big Data Analytics market in India is worth $ 2 Billion and is tipped to reach $ 16 Billion by 2025. In 2025, India will have a 32 percent share of global markets. India contributes to over 6% of the data analytics job openings worldwide. Currently, there are approximately 97000 jobs open in India 24% of which are clustered around Bengaluru, Delhi, and Mumbai are also the emerging hotspots for job seekers in the data analytics landscape in India.