Professional Certificate Course in
Big Data Analytics Training
- Get Trained by Trainers from ISB, IIT & IIM
- 72 Hours of Intensive Classroom & Online Sessions
- 140+ Hours Assignments & eLearning
- 2 Capstone Projects
- 100% Job Assurance
"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 & Analytics
- Computer Skills
- Basic Math Knowledge
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.
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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.
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.
How we prepare you
Additional assignments of over 140 hours
Live Free Webinars
Resume and LinkedIn Review Sessions
Lifetime Access to LMS
Job assistance in Big Data Analytics fields
Unlimited Mock Interview and Quiz Session
Hands-on experience in a live project
Offline Hiring Events
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Big Data Analytics Training Panel of Coaches
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.
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.
- 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.
Distinguish yourself in the field of Big Data Analytics and Data Science with this dual certification. Gain respect from industry peers and accelerate career growth.
FAQs for Big Data Analytics Course
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 and Analytics in India
Big Data professionals can play varied roles in this industry as a Data Engineer, Business Analyst, Visualization Specialist, Machine Learning Expert, Big Data Solution Architect, and Big Data Analyst depending upon their strong knowledge and experience in Big Data.
Salaries for Big Data Analytics
The salary in this field is directly proportional to factors like skills, education, and the experience to solve real-world Big Data problems with the help of tools and technologies. The average salary of a Big Data Analyst in India is ?511,005.
Big Data and Analytics Projects in India
The Indian government has initiated several big data analytics projects in the fields of Agriculture, Electricity, Water, Healthcare, Education, Road Traffic Safety, and Air Pollution and if you have the required skill set then your career as a data analyst is going to only grow upwards.
Role of Open Source Tools in Big Data and Analytics
Python is easy to learn and with its extended library makes it possible to stretch the applications of Python from Big Data Analytics to Machine Learning. R is the preferred tool of statisticians that enables effective data storage. The other tools covered are Hadoop, Hive, Apache pig, etc.
Modes of Training of Big Data Analytics 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 both classroom and online learning. We also support e-learning as part of our curriculum.
Industry Applications of Big Data and Analytics
Big Data is firmly expanding its reach across numerous sectors including IT, sales, marketing, research and development, finance and insurance, logistics, strategic management, etc. and is being used for customer personalization, fraud detection, analysis of healthcare information, energy exploration, etc.