Big Data Analytics

Boost Your Career with Big Data Skills!

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  • Duration: 2 Months
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Big Data Analytics

Rs. 2999/-     Rs. 14999
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This 2-month self-paced training internship is designed to equip you with the knowledge and skills to excel in the field of Big Data Analytics. Throughout the program, you will delve into the fundamental and advanced concepts of data analysis, processing, and visualization using industry-leading tools and technologies.

By the end of this internship, you’ll be proficient in handling vast datasets, making data-driven decisions, and generating actionable insights for real-world applications.

  • Mastery of Big Data Tools: Gain hands-on experience with Hadoop, Spark, Hive, and other essential Big Data technologies.
  • Data Processing & Analysis: Learn to process and analyze large datasets, identify patterns, and derive meaningful insights.
  • Real-World Projects: Work on industry-relevant projects that mimic real-world scenarios, enhancing your practical skills.
  • Data Visualization: Understand how to create compelling visualizations that communicate your findings effectively.
  • Advanced Analytics Techniques: Explore machine learning algorithms and predictive analytics to solve complex data problems.
  • Certification: Upon successful completion, receive a certification that validates your expertise in Big Data Analytics.
  • Duration: 2 Months
  • Pace: Self-Paced
  • Flexible Learning: Access course materials anytime, anywhere, and progress at your own pace.
  • Apply Your Knowledge: Use the skills you’ve acquired to take on real-world challenges in data-driven roles.
  • Advanced Learning: Consider enrolling in advanced courses or certifications to further deepen your understanding of data science and analytics.
  • Career Opportunities: Leverage your internship experience to explore job opportunities in data analysis, data engineering, or data science.
  • Join a Community: Engage with a community of data enthusiasts and professionals to stay updated on industry trends and best practices.

Course Curriculum

Learning shouldn't feel like homework.

Our curriculum is like your favorite mentor in a box: engaging, practical, and packed with real-world insights. Be future-ready in no time with expert guidance, bite-sized lessons, and hands-on challenges that will make you a pro, fast!

  • Introduction To Big Data
  • Basics of Data Science and Analytics
  • Data Mining Concepts
  • Data Mining Techniques
  • Introduction To Ubuntu
  • Hadoop
  • ATLASI
  • Basics of Data Analytics
  • PySpark
  • Data Visualisation 
  • Data Analysis on Superstore Sales Dataset
  • Introduction To Apache Spark
  • Introduction To Tableau
  • Introduction To Machine Learning
  • Data Structures 
  • Introduction To Tensorflow
  • Data Security in Big Data
  • Final Project - Netflix Dataset
  • Big Data Analytics Overview and Next Steps
  • About the Internship
  • Project Description 
  • Project Documentation
  • Project Presentation
certificate of internship of big data

Certificate of Completion

Flaunt it! Earn a certificate that validates your expertise.

Don't just learn, prove it! These credentials will set you apart from the competition and showcase your dedication to professional development.

What Our Learners Say!

Reyansh Gupta M. Tech Final Year Student

The Education Diary’s hands-on approach really helped me grasp the concepts. The courses are interactive and encourage active learning, which kept me engaged and motivated. The live Q&A sessions with instructors were also incredibly helpful.

Arpita Jain Working Professional

As a busy working professional, I needed a flexible and convenient way to upskill. The Education Diary’s recorded courses were perfect! I could learn at my own pace. The platform is user-friendly and the content is high quality. Highly recommended!

Shaurya Sharma BCA Second Year Student

The hands-on courses are engaging and effective, and the live classes offer valuable interaction with instructors. I appreciate the variety of study materials, from recorded lectures to downloadable resources. It’s like personalized learning.

Aman B. Tech Final Year Student

I consider The Education Diary to be one of the best learning platforms I’ve encountered during my learning phase. The instructor provided excellent guidance at every level, including the basics of JavaScript. Additionally, all the team members of ED and the instructor were very cooperative.

Himanshu Singh B. Tech Second Year Student

Education Diary surprised me with its exceptional support throughout my coding journey. The instructors’ clear explanations were invaluable, even at the beginner level. The entire team went above and beyond to ensure my success. This is one of the best courses that I have come across.

Frequently Asked Questions

While no prior experience in Big Data is required, a basic understanding of programming languages such as Python or Java, and familiarity with database concepts, will be beneficial.

As this is a self-paced program, you can allocate your time according to your schedule. However, we recommend dedicating approximately 10-15 hours per week to ensure steady progress and complete the course within the 2-month timeframe.

Yes, upon successful completion of the course and all associated projects, you will receive a certification in Big Data Analytics, which can be shared on LinkedIn or included in your professional portfolio.

You will work on real-world projects that involve processing and analyzing large datasets, building data pipelines, and implementing predictive analytics. These projects are designed to simulate challenges faced in the industry.

  • Yes, you will have access to a dedicated support team, discussion forums, and optional live Q&A sessions to help you resolve any issues and get guidance on course materials.

 

es, you will have lifetime access to the course materials, including video lectures, project files, and resources, so you can revisit the content whenever you need.

The class will be a mix of lectures, discussions, and hands-on exercises.

Completing this internship can open doors to roles such as Data Analyst, Data Engineer, Big Data Developer, and Data Scientist.