Big Data Analytics
Beginner to Mastery
End-to-End Data
Applied Learning with Projects.
Multi-Role Data Proficiency
Practical application of theories to solve industry challenges.
Group Enrollment with Friends or Colleagues
450 Hours
14 September 2025
Live. Online. Interactive.
Broad and versatile training for diverse career paths and industries.
Up-to-date with current industry trends and technologies.
190 hours of self-paced Learning
Designed for both working professionals and fresh graduates
Gain expertise in data science, machine learning, and AI, with a focus on both foundational and cutting-edge technologies.
Acquire practical experience with industry-standard tools and real-world applications.
Boost your career prospects with a curriculum tailored to meet the demands of top employers.
Learn from industry professionals with real-world experience.
14 September 2025
30 MINUTE MEETING
Web conferencing details provided upon confirmation.
Corporate Training, Enterprise training for teams
Batch | Batch Type |
---|---|
Online Live Instructor Led Session | Full-Time |
Online Live Instructor Led Session | Part-Time |
Batch | Batch Type |
---|---|
IST (India Standard Time) | 09:00 PM–12:00 AM |
Bahrain, Qatar, Kuwait, Saudi Arabia | 06:30 PM–09:30 PM |
UAE / Oman | 07:30 PM–09:00 PM |
This program offers a comprehensive curriculum covering essential tools and technologies for managing and analyzing large datasets. Students will begin with Big Data and Python Programming, then move to Statistics, Machine Learning and Ending With Deep learning. Its use is for processing big data in Java, Hadoop and Spark are also covered as part of this course along with NoSQL and MongoDB that may be used to store unstructured data. Students will also learn advanced querying in SQL and data visualization with Tableau to work well with big-data.
ENROLL NOW & BOOK YOUR SEAT AT FLAT 50% WAIVER ON FEE
Enroll Now →This course is to provide the participants with hands-on-experience on managing, analyzing and interpreting high dimensional datasets. Some of the important technologies and methods that this course covers is; Python programming, Statistics, Machine Learning, Deep Learning / Neural Networks, Big Data Technologies (like Hadoop, Spark & NoSQL databases). Students will also become well-versed in SQL and Tableau data visualization skills. Upon completion of the program, participants should be able to apply big data technologies and data science techniques in successful decision-making processes and solving complex business issues within many industries.
Enroll Now →Gain a robust understanding of both data science and big data technologies, making you proficient in managing, analyzing, and visualizing large datasets.
Master the tools and techniques that are highly sought after in the data-driven industry, including Python, Hadoop, Spark, and SQL.
Unlock diverse career opportunities like Data Engineer, Big Data Analyst, and Machine Learning Engineer, by mastering cutting-edge technologies.
Learn to apply machine learning and deep learning techniques to solve complex business problems and make data-driven decisions.
Get practical experience with real-world datasets, enhancing your ability to implement theoretical knowledge in practical scenarios.
Develop the ability to communicate insights effectively using advanced data visualization tools like Tableau, a critical skill in any data-centric role.
Keep up with the rapid advancements in big data and data science, positioning yourself as a valuable asset in any organization.
Gain a deep understanding of key tools, from Hadoop and Spark to Python and Machine Learning.
Equip yourself with industry-relevant skills that keep you competitive in the job market.
Develop proficiency in a wide range of tools, including SQL, NoSQL, MongoDB, and Tableau.
Engage in hands-on projects that simulate real-world industry challenges.
Build a versatile skill set that opens up diverse career paths in data engineering, analytics, and machine learning.
Benefit from comprehensive coverage, from foundational concepts to advanced techniques in big data and data science.
Learn to leverage big data technologies for data-driven strategies and impactful decision-making.
Min
$60,000
Average
$100,000
Max
$150,000
Practice Essential Tools
Designed By Industry Experts
Get Real-world Experience
WE CAN APPLY FOR JOBS IN
Collect, process, and analyze large datasets to extract valuable insights.
Build and implement machine learning and deep learning models for predictive analytics.
Design and maintain data pipelines, ensuring efficient data storage and retrieval.
Create and present data visualizations and reports to communicate findings effectively.
Utilize tools like Hadoop, Spark, and NoSQL databases to manage and process data.
Work with cross-functional teams to understand data needs and provide data-driven solutions.
Address and resolve data-related issues and optimize data processing workflows.
Document data processes, methodologies, and models for future reference and reproducibility.
The application process consists of three simple steps. An offer of admission will be made to selected candidates based on the feedback from the interview panel. The selected candidates will be notified over email and phone, and they can block their seats through the payment of the admission fee.
We partnered with financing companies to provide competitive finance options at 0% interest rate with no hidden costs.
Batch | Date | Time (IST) | Batch Type |
---|---|---|---|
Online Live Instructor Led Session | 30 August 2025 | 9 PM to 12 AM | Batch 1 |
Online Live Instructor Led Session | 14th Sept 2025 | 9 PM to 12 AM | Batch 2 |
Feature | Our Course | COMPETITOR A |
---|---|---|
Course Coverage | Comprehensive: Big Data, Data Science, Python, ML, DL, Hadoop, MapReduce, Sqoop, Scala, Hbase, Pyspark, Pig, Oogie, HDFS, Spark, SQL, NoSQL, MongoDB, Tableau | Varies; often focused on specific areas or fewer tools |
Hands-On Experience | Extensive practical projects and real-world data | May have limited practical application |
Industry-Relevant Skills | Up-to-date with current industry trends and technologies | May lack focus on the latest tools and technologies |
Career Opportunities | Wide range: Data Engineer, Data Scientist, ML Engineer, etc. | May be narrower or less specialized |
Practical Application | Emphasis on applying skills in real-world scenarios | May focus more on theoretical knowledge |
Versatility | Broad skill set applicable to various roles and industries | Often more specialized or limited to specific roles |
Technical Proficiency | Mastery of key tools and technologies | May offer basic or partial training in relevant tools |