Online Classroom Batches Preferred
Weekdays Regular
(Class 1Hr - 1:30Hrs) / Per Session
Weekdays Regular
(Class 1Hr - 1:30Hrs) / Per Session
Weekend Regular
(Class 3hr - 3:30Hrs) / Per Session
Weekend Fasttrack
(Class 4:30Hr - 5:00Hrs) / Per Session
No Interest Financing start at ₹ 5000 / month
Top Skills You Will Gain
- Data Mining
- Machine Learning
- Data Visualization
- NoSQL Databases
- Data Warehousing
- Programming (Python, R)
- Statistics
- Natural Language Processing
Big Data Analytics Certification Course Key Features 100% Money Back Guarantee
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Big Data Analytics Certification Course Curriculam
Trainers Profile
Experts with competence in statistics analysis, statistics technology, system learning, and artificial intelligence lead our Big Data Analytics course running shoes. They have a collection of theoretical and practical knowledge in the Big Data era, as well as experience with various large data technologies such as Hadoop, Spark, NoSQL, and associated equipment.
Pre-requisites
The prerequisite for taking a Big Data Analytics course is basic knowledge with concepts and tools connected with computer programming and software engineering. Knowledge of disciplines such as algorithms, statistical structures, database management systems (DBMS), and allotted computing can be beneficial.
Syllabus of Big Data Analytics Certification Online Course Download syllabus
- Types of Digital Data
- Introduction to Big Data
- Apache Hadoop
- Hadoop Streaming
- Analyzing Data with Hadoop
- Hadoop Echo System
- Analyzing Data with Unix tools
- The Design of HDFS
- HDFS Concepts
- Command Line Interface
- Hadoop file system interfaces
- Data flow
- Data Ingest with Flume
- Map Reduce Framework
- Shuffle and Sort
- Map Reduce Types and Formats
- Map Reduce Features
- Techniques to optimize Map Reduce jobs
- Introduction to PIG
- Hive Shell
- HiveQL, Tables
- HBasics Concepts
- Hbase Versus RDBMS.
- Hive Metastore
- Introduction to Machine Learningr
- Supervised Learning
- Unsupervised Learning
- Collaborative Filtering
- Big Data Analytics with BigR
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Big Data Analytics Online Training Objectives
- The Big Data Analytics certification direction is an extensive application designed to help college students expand the vital capabilities to emerge as a success statistics analysts.
- The path covers topics along with records mining techniques, programming languages, and analytics gear.
- Students will discover ways to acquire, analyze, and interpret records from numerous resources to increase meaningful visualizations and insights.
- They may even acquire the skills to construct and install predictive models and layout solutions to improve commercial enterprise choices.
- Big Data Analytics Online Training goals to offer online newcomers with the skills necessary to investigate big datasets and uncover insights by way of leveraging quantitative techniques, superior analytics strategies, software tools, and device getting to know technologies.
- It moreover affords in-depth understanding of the foundations of facts analysis, facts fashions, and statistics control.
- The schooling specializes in coaching techniques for amassing and organizing data, growing fashions and trying out algorithms which can pick out trends for enterprise experts.
- It gives a complete expertise of how data analytics can be utilized in choice making, danger management, device optimization, and more.
- Data Mining Techniques
- Machine Learning and Artificial Intelligence
- Data Visualization and Dashboarding
- Big Data Storage and Processing
- Statistic Analysis and Predictive Modelling
- In order to take the Big Data Analytics Course, you may need to have a robust foundation in programming, simple math and information, and information technology.
- You will want to be acquainted with ideas like information evaluation, statistics mining, gadget learning, and programming languages which include Python or R.
- You may want to have earlier revel in with database control and query languages. Finally, you'll want with a purpose to practice your expertise to the mission of records analysis in a realistic manner.
- Yes, there may be a want for training in Big Data Analytics.
- Big Data Analytics is a noticeably new discipline that requires specialised expertise and skills for you to be used correctly.
- By enrolling in a application or taking a course, people can benefit the necessary revel in and knowledge to recognize and analyze huge datasets to implement the maximum suitable strategies and solutions.
- Attend an online or in-individual education course. Courses along with Cloudera’s Big Data Analytics direction, IBM Big Data and Analytics Foundations, and Hortonworks Data Science and Big Data Analytics can train the fundamentals of Big Data Analytics, as well as provide arms-on enjoy with numerous lab sporting activities.
- Do on line tutorials. Numerous online sources along with Udemy, edX, Coursera, and DataCamp provide full-size tutorials on Big Data Analytics.
- Use cloud-based environments such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform to spin up Big Data Analytics labs.
- Practice with open supply software equipment inclusive of Apache Spark, Hadoop, Apache HBase and Apache Hive for statistics exploration and device gaining knowledge of.
- AI and Machine Learning- AI and machine gaining knowledge of can integrate data from multiple assets into meaningful insights. As generation keeps to strengthen, there may be extra possibilities to apply AI and machine learning to system and examine information extra successfully, allowing groups to make faster and greater informed selections.
- Data Visualization- Data visualization plays an critical role in know-how and decoding big datasets. Through statistics visualization, companies can gain treasured insights into traits and styles of their data. As the information environment evolves, so does the want for classy facts visualization techniques.
- Cloud Computing- With the growing call for for information evaluation, cloud computing has gained traction in current years. Cloud computing lets in for storing, handling, and studying huge datasets, permitting groups to carry out Big Data analytics in a value-powerful manner.
- Understand the fundamentals: First and foremost you need to benefit an expertise of the basics of big facts, such as the tools, technologies, and tactics used. Research on-line and recall taking a direction in big facts analytics to get a better information.
- Familiarize yourself with the available tools and technology: Take the time to emerge as familiar with the distinctive equipment and technology used for shooting, refining, and analyzing facts. You can regularly use open source options, including Apache Hadoop, to advantage experience inside the area.
- Master the talents: Once you have got a primary knowledge of the gear and technologies you want to end up a huge facts analytics expert, you may start gaining knowledge of the capabilities required to use them efficiently. This consists of studying the various programming languages, structures, and gear associated with huge data, consisting of SQL, Python, and R.
- Practice: Practicing is crucial. Work with and examine datasets to benefit experience in evaluating records and deriving insights.
- Data Scientists
- Business Intelligence Analysts
- Data Architects
- Data Engineers
- Machine Learning Engineers
- Data Visualization Experts
- Big Data Analytics Fundamentals
- Applied Big Data Analytics
- Machine Learning and Big Data Analytics
- SQL for Big Data Analytics
- Advanced Big Data Analytics
- Big Data Visualization and Analytics
- Big Data Processing and Analytics
Exam & Certification
- Participate and Complete One batch of Big Data Analytics Certification Training Course
- Successful completion and evaluation of any one of the given projects
- Complete 85% of the Big Data Analytics Certification Certification course
- Successful completion and evaluation of any one of the given projects
- Oracle Certified Associate (OCA)
- Oracle Certified Professional (OCP)
- Oracle Certified Expert (OCE)
- Oracle Certified Master (OCM)
- Learn About the Certification Paths.
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- Solve Sample Tests that would help you to Increase the Speed needed for attempting the exam and also helps for Agile Thinking.
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Software Testing, CapgeminiBig Data Analytics Certification Course FAQ's
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