Features
- Lectures - 14
- Duration - 8 Weeks
- Case Studies and Assessment - 5+
- Delivery Mode - Online/Offline
- Batches - Weekdays/Weekend
- Capstone Projects- 10 projects( Choose anyone)
Do you know how much data we create each day? By 2025 we will be creating 463 exabytes per-day. As we create information consistently, it is needed to mastermind and sort out enormous measures of Data to discover more business openings. Here comes the job of Big Data Analysts and Data Engineers to give organizations a superior comprehension of Big Data.
Introduction to Program
- As the businesses are going digitized nowadays, data is going to increase every day. Every business, every organization wants to grow and for that Data Analysis is the key factor. As we generate data every second, it is required to arrange and organize large amount of Data to find more business opportunities. Here comes the role of Big Data Analysts and Data Engineers to give businesses a better understanding on Big Data.
Program Overview
- This program is specially designed to give a strong foundation to those who want to learn Big Data Analytics. You will get a brief knowledge on HDFS Architecture, Spark, Flume, and Hive. After completing this course, you will be able to collect, organize, extract unstructured data from large databases.
Program Structure
- Pre-Learning: Before you come in, get ready for the program. You will get a series of online recorded tutorials to understand the structure of Big Data.
- 40 Hours Program: Here, you will get Hands-on Experience to work on Big Data query, organize large dataset, understand distributed database system, learn to extract data through flume, extract data with hive and spark.
- Post Program:Learning does not stop here. After completing the Program, you will work on Project, Assignments. Doubt clearing is also provided. You will be working on any one capstone project from the list of few projects on your choice.
Eligibility:
- Education – Graduate in Math, Science, Commerce, Statistics, Economics or Management
Prior Programming Knowledge is good to have.
Sample Certificate
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Hadoop [05 Hrs]
Introduction to Hadoop, Scaling (Horizontal and Vertical), Challenges in Scaling, Concept and challenges in parallel computing, Distributed Computing and use in Hadoop, Core components of Hadoop, Hadoop working Principle, Hadoop Commands and implementation
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MapReduce [03 Hrs]
Mapreduce, Mapreduce Implementation, Mapreduce Implementation
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Pig [04 Hrs]
Introduction to pig, Installation of PIG, PIG Query
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Hive[05 Hrs]
Introduction to Hive, Hive Installation, Hive Implementation, HIVE_SQL Opeartions
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Hbase [05 Hrs]
Introduction to Hbase, Installation of Hbase, Hbase Query
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Sqoop [04 Hrs]
Introduction to Sqoop, Installation of Sqoop
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Flume [03 Hrs]
Introduction to Flume, Installation of Flume, Flume Queries
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Oozie [04 Hrs]
Introduction to Oozie, Installation of Oozie, Oozie Query
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Spark [03 Hrs]
Introduction to Spark, Resilient Distributed Datasets (RDDs), Spark components
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PySpark [04 Hrs]
Introduction of Pyspark, Installation of Pyspark, Queries
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Program Benefits
- ✔️ Cutting Edge Curriculum: Hand crafted Course content made by Experts from various Industries. Learn through Practical case studies and multiple projects.
- ✔️ Build Solid Foundation: 40 hours focused course on Big Data Framework.
- ✔️ On the Go Learning: Online accessible E-learning Material, recorded lectures, case studies and Research Paper through our system.
- ✔️ Industry Mentorship: Get 1 to 1 guidance from Industry experts and start your career in Data Science.
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Skills you will possess post program
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Capstone Projects
- The most effective way to learn Data Science is to learn practically. Once the program gets finished candidates will be provided with a few Projects based on Machine Learning. You are advised to choose any 1 project according to your domain and your interest. Some examples of capstone project:
- ✔️ Health Care data analysis
- ✔️ Movielens Data Analysis
- ✔️ Nifty-50 Stock market data analysis