The Big Data Hadoop certification training course is designed to give you an in-depth knowledge of the Big Data framework using Hadoop and Spark. In this hands-on Hadoop course, you will execute real-life, industry-based projects using Integrated Lab.

Advanced Big Data Specialization
- Course Overview
- program highlights
- Pre Requisites
- Projects
- Tools Covered
- Career Centre
- Syllabus
- FAQ
Why Choose Advanced Big Data Analytics Program?
Projects
Real world datasets from companies like Nike, Yelp, Amazon, Netflix etc. are provided to our students
Study of IPL data

Process, transform, and analyse the data to find the winner for each season and the top 5 batsmen with maximum runs in each season and overall
Analysis of Zomato data

Zomato contains 9K+ rows of data with 21 variables on popular cuisines and best restaurants.
Evaluation of Amazon electronic product sales

Analyse product sales based on customers reviews and ratings.Amazon reviews contains 142.8 million rows of review data on popular products.
Career Centre
Exclusive Interview Preparation Guides, Career Support, Placement Opportunity and many more...!
Why Choose Artificial Intelligence Foundation Program?
Pre Requisites
Professionals entering into Big Data Hadoop certification training should have a basic understanding of Core Java and SQL. If you wish to brush up your Core Java skills, Hatigen offers a complimentary self-paced course Java essentials for Hadoop when you enroll for this course.
Projects
Real world datasets from companies like Nike, Yelp, Amazon, Netflix etc. are provided to our students
Study of IPL data

Process, transform, and analyse the data to find the winner for each season and the top 5 batsmen with maximum runs in each season and overall
Analysis of Zomato data

Zomato contains 9K+ rows of data with 21 variables on popular cuisines and best restaurants.
Evaluation of Amazon electronic product sales

Analyse product sales based on customers reviews and ratings.Amazon reviews contains 142.8 million rows of review data on popular products.
Tools Covered
Career Centre
Exclusive Interview Preparation Guides, Career Support, Placement Opportunity and many more...!
Week 1
Module 1: Introduction to Big Data
Module 2: Python Essentials - I
Week 2
Module 3: Python Essentials - II
Module 4: Introduction to Hadoop
Week 3
Module 5: Hadoop Architecture & Ecosystem
Module 6: Hadoop Distributed File System(HDFS)
Week 4
Module 7: Introduction to Map Reduce
Module 8: MapReduce Programming with Python
Week 5
Module 9: Apache Pig
Module 10: Apache Pig Hands - on
Week 6
Module 11: Apache Hive
Module 12: Apache Hive Hands - on
Week 7
Module 13: Integration of Hive and Pig using HCatalog
Spark
Week (8-13)
Week 8
Module 1: Programming with Scala-I
Module 2: Programming with Scala-II
Week 9
Module 3: Introduction to Apache Spark architecture
Module 04: Spark programming concepts
Week 10
Module 05: Spark Core programming
Module 06: Introduction to Spark SQL
Week 11
Module 07: Spark SQL hands-on
Module 08: Introduction to Apache kafka
Week 12
Module 09: Introduction to Spark Streaming
Module 10: Spark Streaming hands-on
Week 13
Module 11: Integration of kafka with spark
Module 12: Machine Learning with Spark MLlib
Module 13: Live Practice session
Data Analytics with Python
Week (14 - 18)
Week 14
Module 1: Data Science Introduction & Use Cases
Module 2: Python Basics: Basic Syntax, Data Structures/p>
Week 15
Module 3: Python Basics: Loops, If-elif statements, Functions, Exception Handling
Module 4: Statistics 1: Measures of central tendency, Population, Sample, Probability Distribution
Week 16
Module 5: Statistics 1: Normal and Binomial Distribution, Random Variable, Pictorial Representations
Module 6: Python Advanced: Numpy, Pandas
Week 17
Module 7: Python Advanced: Data Manipulation, Matplotlib
Module 8: Exploratory Data Analysis: Data Cleaning, Data Wrangling
Week 18
Module 9: Exploratory Data Analysis: Data Visualisation
Module 10: Exploratory Data Analysis: Case Study
Machine Learning
Week (19 -23)
Week 19
Module 1: ML Introduction & Use Cases
Module 2: Statistics 2 - Inferential Statistics
Week 20 & 21
Module 3: Linear Regression
Module 4: Logistic Regression
Module 5: Decision Trees, Random Forest
Module 6: Modelling Techniques (PCA, Feature Engineering)
Week 22 & 23
Module 7: KNN, Naive Bayes
Module 8: Support Vector Machines(SVM)
Module 9: Clustering, K-means
Module 10: Time Series Modelling
Where and when do the classes takes place?
All the courses are instructor-led and take place online. The online interface lets you and the faculty have a two-way interaction. It’s as good as sitting in a physical classroom.
All classes take place over the weekends in the mornings. There’ll be one class of 2 to 2.5 hours on Saturdays and Sundays each. This means that you can now acquire in-demand skills without compromising on your schedule.
Can i watch recording of the trail sections before enrolling?
Yes, the recordings of the trial classes are uploaded.
What is the benefit of taking online instructor-led courses?
In physical classrooms, students generally feel hesitant to ask questions. If you miss any class or didn’t understand some concepts, you can’t go through the class again. However, in online courses, it’s possible to do that. We share the recordings of all our classes after each class with the student. Also, there’s no hassle of long distance commuting and disrupting your schedule.
what kind of projects will i be working on?
We believe that unless you implement the concepts studied in the classes, you are unable to join the dots and hence can’t see the entire picture. Our capstone projects let you apply the learned concepts to real-world data sets. You’ll be working on real-time data-sets (which can run in 100s of MBs or possibly in GBs!) which you get to choose from a variety of domains such as retail, finance, social media, healthcare, etc. These datasets have been curated from top sources such as World Bank, US Health Department, Carnegie Mellon, Stanford and many more.
Where & how will i practice?
You’ll get access to our virtual computing lab through the login credentials provided to you. The virtual machines will enable you to work on “Big Data” sets for your projects and practice hands-on too.
Do i get a certificate of completion or certification?
We provide certification of completion to students who attend at least 70% of the classes. After the course ends, we conduct a certification exam that evaluates them on the skills they have learnt. Certification from Hatigen is provided to only those who clear the exam. The exam is purely case-based and not even a single theory question is asked.
Do you provide career assistance?
We provide career workshops and industry immersion sessions to help you become ready for roles you are aspiring for. We also help you in resume review and interview preparation. If you diligently follow our advice, you should start getting interview calls as soon as you finish the course.