Course Provider
What will you learn in Big Data Analytics course?
- Hadoop
- HDFS and YARN
- MapReduce framework and pig
- Apache Hive
- NoSQL
- MongoDB
- Tableau
- Spark
- Scala Operations
- Python
- Data Science
- Data Analytics using Python
Big Data Analytics
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Skill Type
Emerging Tech -
Domain
Big Data Analytics -
Course Category
Bridge Course -
Nasscom assessment Available -
Course Covered under GoI Incentive
No -
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Course Price
INR 3,390+ 18% GST -
Course Duration
100 Hours
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Why you should take Big Data Analytics course?
After completing this course candidates shall be expert in:
- To make data driven decisions
- Data Analytics & Predictive Analytics
- Industry ready & Have edge over their peers
- Studying Big Data will broaden their horizon by Surpassing Market Forecast and uncover new opportunities
Who should take Big Data Analytics course?
Industry professionals who need to change domain to Big data, B.Tech, MCA students.
Curriculum
- Introduction to Hadoop and Big data
- HDFS and YARN
- Data integration and ETL
- Map Reduce framework and pig
- Apache Hive
- Basic of Scala
- Introduction to NoSQL,
- Features of NoSQL
- Different NoSQL databases like key-value column oriented and document oriented
- Graph-oriented databases
- Introduction to MongoDB
- Difference between SQL and MongoDB
- The data model
- CRUD operation in MongoDB
- Aggregation in MongoDB,
- Indexing in Mongo DB
- Why Spark is needed?
- What is Spark?
- How Spark differs from other frameworks?
- Data Frames and Spark SQL
- Need for Spark SQL
- What is Spark SQL?
- Spark SQL Architecture SQL Context in Spark SQL User Defined Functions Data Frames & Datasets Interoperating with RDDs JSON and Parquet File Formats
- Loading Data through Different Sources Spark – Hive Integration
- Why Scala for Spark? Scala in other Frameworks Introduction to Scala REPL
- Basic Scala Operations Variable Types in Scala Control Structures in Scala Foreach loop
- Functions and endures Collections in Scala- Array Buffer, Map, Tuples, Lists, and more
- Introduction to Python
- Introduction to data science and data Analytics
- Linear regression
- Supervised, Unsupervised algo
- Business application
- Project and Case study
- Doubt clearing lab and class: total duration 20 hours (4 days in 5 hours in each day offline)
Tools you will learn in Big Data Analytics course:
- Pig
- Hiv
- Scala
- Spark
- MongoDB
- Python
FAQs
The Big Data Analytics Course by FutureSkills Prime is a comprehensive program designed to equip learners with the skills and knowledge needed to analyze and interpret large datasets using cutting-edge tools and techniques.
This course is designed for aspiring and current data analysts, including B.Tech, MCA students, and industry professionals seeking to transition into big data analytics.
The course covers a wide range of topics, including Hadoop, Spark, SQL, data visualization, and Python. You'll learn data cleaning, transformation, and interpretation techniques.
Yes, the course emphasizes hands-on learning. You'll have practical exercises, labs, and projects to gain real-world experience in big data analytics.
Yes, the course is structured to provide you with the skills and knowledge required to excel in roles such as Data Analyst, Data Scientist, Big Data Engineer, and more.
The Big Data Analytics Course by FutureSkills Prime is a comprehensive program designed to equip learners with the skills and knowledge needed to analyze and interpret large datasets using cutting-edge tools and techniques.
This course is ideal for individuals seeking to become proficient in big data analytics. It caters to beginners and professionals aiming to enhance their data analysis skills.
Yes, the course is structured to provide you with the skills and knowledge required to excel in roles such as Data Analyst, Data Scientist, Big Data Engineer, and more.