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ABOUT BIG DATA


Big data refers to extremely large and diverse collections of structured, unstructured, and semi-structured data that continues to grow exponentially over time. These datasets are so huge and complex in volume, velocity, and variety, that traditional data management systems cannot store, process, and analyze them.

The amount and availability of data is growing rapidly, spurred on by digital technology advancements, such as connectivity, mobility, the Internet of Things (IoT), and artificial intelligence (AI). As data continues to expand and proliferate, new big data tools are emerging to help companies collect, process, and analyze data at the speed needed to gain the most value from it.

Big data describes large and diverse datasets that are huge in volume and also rapidly grow in size over time. Big data is used in machine learning, predictive modeling, and other advanced analytics to solve business problems and make informed decisions.

The major modules covered in Big Data are:

  • Linux Programming
    • Basics and Setup
    • Advanced Concepts
    • Programming with Linux
  • Cloud Computing
    • Introduction to Cloud Computing
    • Cloud Services and Infrastructure
    • Practical Implementation

  • Python Programming
    • Basics of Python
    • Advanced Python
    • Python in Practice
  • R Programming
    • Advanced R
    • R in Practice
  • Integration with Linux and Cloud Computing
    • Python & R on Linux
    • Python & R in the Cloud
    • Collaboration

  • Basics of Java and OOP Principles
  • Advanced OOP Concepts
  • Java 8 Features
  • Practical Application
  • Integration with Other Technologies
    • Java and Cloud Computing
    • Java and Linux
    • Java and Data Analysis

  • Statistical Theory and Methods
    • Advanced Statistical Concepts
    • Regression Analysis
    • Multivariate Analysis
    • Time Series Analysis
  • Practical Applications and Tools
    • Statistical Software and Programming
    • Data Visualization and Interpretation
    • Case Studies and Real-world Applications
    • Advanced Topics and Emerging Trends
  • Integration with Other Areas
    • Cloud Computing and Statistics
    • Data Science Pipeline

  • Data Collection
    • Fundamentals of Data Collection
    • Data Sources and Collection Tools
    • Data Storage and Management
  • Database Management Systems (DBMS)
    • Principles of DBMS
    • SQL and Relational Databases
    • NoSQL Databases
    • Data Modeling and Design
  • Tools and Platforms
    • Database Tools and Platforms
    • Data Integration and Visualization Tools
    • Practical Application and Case Studies
    • Emerging Trends and Best Practices

  • Big Data Fundamentals
    • Introduction to Big Data
    • Big Data Ecosystem Overview
  • Big Data Storage
    • Hadoop Distributed File System (HDFS)
    • NoSQL Databases
    • Cloud-Based Storage Solutions
  • Big Data Processing
    • Apache Hadoop
    • Apache Spark
    • Stream Processing
  • Big Data Analytics
    • Data Warehousing and ETL
    • Data Visualization and Business Intelligence
    • Machine Learning and Big Data

  • Data Visualization Fundamentals
    • Introduction to Data Visualization
    • Visualization Tools and Libraries
  • Advanced Visualization Techniques
    • Designing Interactive Dashboards
    • Advanced Visualization Types
    • Best Practices and Common Pitfalls
  • Data Analysis Techniques
    • Exploratory Data Analysis (EDA)
    • Advanced Analytical Techniques
    • Integrating Analysis with Visualization
  • Reporting and Presentation
    • Effective Reporting Techniques
    • Automation and Dashboards
    • Communicating Insights

  • Project Planning
  • Implementation
  • Testing and Deployment

Highlights of Bigdata Courses:

  • Well established courses with excellent placement Assistance.
  • 13-weeks (approx) full-time courses with 300 hours' theory + lab + project.
  • 4 hours per day theory + lab sessions on 6 days a week.
  • Continuous lab and internal assessments during the course.
  • Courses designed and developed in consultation with the domain experts in Orlando Academy, academia and ICT industry.
  • Expert faculty from Orlando Academy and ICT industry with widespread domain knowledge.
  • Tutorials, hands-on and projects relevant to the standards of the ICT industry.
  • Special training on aptitude, effective communication and interview skills.

Eligibility:
  • Graduate in Engineering (10+2+4 or 10+3+3 years) in any discipline of Engineering.
  • BSc, MSc / MS (10+2+3 years) in Computer Science, IT, Electronics with Mathematics in 10+2.
  • BCA, MCA, MCM
  • Post Graduate Degree in Physics / Mathematics / Statistics
  • Post Graduate Degree in Management with graduation in IT / Computer Science / Computer Applications
  • B.com+(Computer) Or M.Com
  • BBA Or MBA

  • NOTE:The candidates must have secured a minimum of 50% marks in their qualifying examination as per the norms of the university from where the candidate has graduated.

Why Should a Student or Professional Learn Big Data ?

Career Opportunities:- Big Data expertise is relevant in many fields such as finance, healthcare, marketing , technology, and government. This versatility offers numerous career paths.

Data-Driven Decisions:- Understanding Big Data allows individuals to make informed decisions based on data insights rather than intuition or guesswork. This skill is valuable for strategic planning and improving operational efficiency.

Emerging Technologies:- Big Data is closely linked with other emerging technologies like artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT). Learning Big Data provides a strong foundation for exploring these advanced fields.

Innovation:- Big Data fosters innovation by providing the tools and techniques needed to discover new opportunities, improve products and services, and develop innovative solutions.

In summary, learning Big Data equips students and professionals with valuable skills that are highly sought after in today's data-driven world. It opens up diverse career opportunities, enhances decision-making capabilities, and fosters innovation, making it an essential area of expertise for anyone looking to excel in their field.

Join Us:

For admissions related queries, our expert will help you to build a career path for you.

OUR PLACEMENTS

I feel the presence of the Almighty, who formed us in his own image, and the breath.

YOGESH HOLPADE

PG-DAC September 2022
CDAC
PUNE
Pakage: 7.1 LPA

PREMKUMAR SAWANT

PG-DAC September 2022
Thinkbridge Software Pvt Ltd
PUNE
Pakage: 6 LPA

MOHD ADIL

PG-DAC September 2022
SeamEx - Aditya Birla Group
MUMBAI
Pakage: 8 LPA

SAGAR POTDAR

PG-DAC September 2022
Wolters Kluwer
PUNE
Pakage: 7.5 LPA

MRUNAL NIKUMBE

PG-DAC September 2022
Axis Bank
MUMBAI
Pakage: 6.45 LPA

SHRADDHA RANGARI

PG-DAC September 2022
Softusvista Inc.
PUNE
Pakage: 6 LPA

HANUMANT AWACHAR

PG-DAC September 2022
Infibeam Avenues
VADODARA
Pakage: 7.7 LPA

AJINKYA GHATGE

PG-DAC September 2022
Cumulus Systems QA
PUNE
Pakage: 7 LPA



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