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.
- 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.
- 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.
- Education – Graduate in Math, Science, Commerce, Statistics, Economics or Management
Prior Programming Knowledge is good to have.
What is this program all about?
Is there any loan facility / sponsorships available?
- Yes, we have tie-up with one of the renowned financial institutions, so we can help you in getting education loans with 0% rate of interest. The approval is based on the income and occupation.
- EMI options are available based on Credit Cards upto 12 to 18 installments.
- Yes, we also guide candidates in getting sponsorships from their companies.
What is the system configuration required for the training?
- Own Laptop with configuration: At least 4 GB Ram, above or similar i3 processor.
Will I get recorded videos and study material during and after completion of the course?
- Yes, after each lecture, recorded videos of that lecture will be available to the LMS of each candidate which you can download.
- All the material that is required during the course will be provided to the candidates.
What is the refund policy?
Please refer to the link for Terms and Conditions
Hadoop [5 Hrs]
MapReduce [3 Hrs]
Pig [4 Hrs]
Hive [5 Hrs]
Hbase [5 Hrs]
Sqoop [4 Hrs]
Flume [3 Hrs]
Oozie [4 Hrs]
Spark [3 Hrs]
PySpark [4 Hrs]
✔️ 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.
Skills you will possess post program
✔️ Big Data Engineering
✔️ Big Data Architecture
✔️ Data Mining
✔️ Data Transformation
✔️ Computational Framework
✔️ Data Warehousing
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