Technocation

Course Name Duration Classes Total Fee Mode of Training Class Timing
Big Data
2 Months
40
24,000 PKR
Online & Face-to-Face
To be decided mutually with students
big data certification course.

Big Data Training Certification Course

  • Big Data means very large sets of data. It is too big for normal computers. We need special tools to handle it.
  • The course teaches how to store data. It explains different storage systems. You learn to keep data safe and ready.
  • It shows how to process huge data. Normal methods are slow and weak. Big Data tools make it fast and easy.
  • You will learn data analysis skills. It helps to find patterns in data. These patterns guide better decisions.
  • The course covers real-time data. Data is updated every second. You learn to work with live data.
  • It introduces Big Data technologies. Like Hadoop, Spark, and NoSQL. These tools manage data smartly.
  • Big Data skills are in high demand. Many companies need such experts. This course helps build your future.

Advantages of Big Data Course: 

  • Big Data course helps to understand large information. It makes learning easy about data storage. You learn how to manage big files.
  • It teaches how to analyze huge data. You can find useful patterns in data. This helps in solving real problems.
  • The course builds strong technical skills. You learn tools like Hadoop and Spark. These tools are used in big companies.
  • It improves your decision-making power. Data gives correct and clear answers. You can make better business choices.
  • Big Data skills are in high demand today. Many companies need data experts. This gives more job opportunities.
  • It helps in research and innovation. You can study trends in science and health. This creates new discoveries and ideas.
  • The course increases problem-solving skills. You learn to handle challenges with data. It makes you smart and confident.

Big Data Training Certification Course Outline

Big Data course teaches us about very large sets of data. We learn how to collect, store, and organize this data. The course shows easy tools to understand and use data. It helps us see how big data is used in real life, like business and technology.

Module 1: Introduction to Big Data

  • What is big data?
  • Difference between small data and big data
  • Why is it important today?
  • Real-life examples like YouTube & Google

Module 2: Sources of Big Data

  • Social media creates data
  • Mobile apps and games also create data
  • Sensors and machines add more data
  • Big data comes from everywhere

Module 3: Types of Big Data

  • Structured data (numbers, tables)
  • Unstructured data (videos, pictures)
  • Semi-structured data (logs, emails)
  • All types are used together

Module 4: 5 V’s of Big Data

  • Volume = large amount
  • Velocity = fast speed
  • Variety = many forms
  • Veracity = truth of data

Module 5: Data Collection Methods

  • Online forms and apps
  • Social media posts
  • IoT sensors
  • Digital transactions

Module 6: Data Storage Basics

  • Data needs space to stay
  • Stored in servers or cloud
  • Cloud = storage on internet
  • Easy to access anytime

Module 7: Data Processing

  • Raw data is not useful
  • Processing makes it clear
  • Tools help to process
  • Helps in decision-making

Module 8: Big Data Tools

  • Hadoop for storing
  • Spark for fast processing
  • SQL for queries
  • Python for coding

Module 9: Big Data Analytics

  • Looking for patterns
  • Making predictions
  • Understanding trends
  • Helping businesses grow

Module 10: Big Data in Real Life

  • Hospitals use for health data
  • Banks use for transactions
  • Schools use for learning data
  • Shops use for customers

Module 11: Challenges in Big Data

  • Too much data is hard to handle
  • Data security is a problem
  • Wrong data gives wrong results
  • Needs strong technology

Module 12: Future of Big Data

  • AI and robots use big data
  • Self-driving cars need data
  • Smart cities use data
  • Future jobs will need it

Module 13: Certification Module

  • Review all modules again
  • Do a small project
  • Show understanding in presentation
  • Get certified as “Big Data Learner”

Experience and Inspiring Trainers:

Firstly, Our trainers bring their years of industry experience during the course. Moreover, They are expert and passionate about delivering inspiring training as they know training inside out. Furthermore, They will advise you on all the options to make sure you get the best possible result.
 

Real-time Practice and Projects:

Our Big Data course is comprehensive and practical. Moreover we work on industry related projects. 
 

Prerequisites for Big Data Course:

  • You should know basic computer skills. Like saving files and using simple software. This will make learning easier for you.
  • You must understand basic math concepts. Addition, subtraction, and percentages help. These are useful in solving data problems.
  • You should know simple statistics. Like mean, median, and graphs. It helps in understanding data analysis.
  • You must have basic knowledge of databases. Knowing tables, rows, and columns is enough. This will help in storing and reading data.
  • You should know one programming language. Python or Java is commonly used. This helps in working with big data tools.
  • You must understand internet and networks. Like how data is shared online. This helps in big data communication.
  • You should have good logical thinking. Breaking big problems into small steps. It makes learning big data very easy.
  • No prior experience in Big Data is required, but having these basics will help in grasping concepts faster.
 

Certificate :

Finally completing this training you will receive a course completion certificate along with an internship in Big Data Training so you can get recognition for your new skills.
 

Course Material :

 Softy Copy notes are briefly included in this course
 

Support and Careers Advice :

In the end, our trainers are always ready to help you with any problems or questions regarding Big Data. Moreover, We prepare students for facing Interview questions on Big Data. And, also help them to build their online resumes. More than 90% of students are placed in good MNCs.

“Our Student Success is Our Mission”.

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