Data Science & Big Data Analytics

Data Science and Big Data have now become irreplaceable factors in today’s life. The rising demand for integrating Data Science and Big Data into business has made a significant mark in the global job market resulting in organizations looking out for skilled professionals to take up challenging job roles. The Data Science and Big Data Analytics course in Dubai offers fundamental training to enable professionals to leverage their knowledge of Big Data and Analytics.

Accredited By

  • 40 Hours Training
  • Online / Classroom / Onsite
  • 22 Jun, 2024 / 30 Jun, 2024
  • Additional Program Dates
  • 100K+ Happy Students

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What are this Data Science and Big Data Analytics course all about?

The Data Science and Big Data Analytics course provide an introduction to Big Data and the Data Analytics concepts and ways to use them for addressing business challenges. The Data Science and Big Data Analytics training offer in-depth knowledge of basic and advanced analytic methods enabling participants to put them into practice to real-world business challenges. This comprehensive training with ample hands-on sessions trains participants to address any big data analytics challenge by applying theoretical concepts taught to the context of the Data Analytics lifecycle.

Why is getting trained in Data Science and Big Data Analytics important?

The Data Science and Big Data Analytics training provide an overview of Data Science and Big Data Analytics. This training enhances one’s data analytical knowledge and skills to apply appropriate analytic techniques and tools for analyzing big data. By getting trained in Data Science and Big Data Analytics, professionals gain a competitive edge and become valuable contributors to any data science team.

Why do companies hire professionals with Data Science and Big Data Analytics certification?

Professionals with Data Science and Big Data Analytics certification demonstrate their profound knowledge in robust contextual understanding, statistics and probability. These certified professionals play a vital role in today’s business world with their credibility to exploit the power of Big Data. Companies hire these professionals for their ability to perform increasingly sophisticated data analytics on very large and diverse datasets.

Industry Trends

The adoption of Data Science and Big Data Analytics continues to grow as it is the key competitive resource for organizations across the globe. The Data Science and Big Data Analytics certification come with its own set of merits and opportunities in the market. Let us see how.

Market trends

Data science is a fast-growing career field, with a 650% growth in jobs since 2012. The Bureau of Labor Statistics places data science in the top 20 fastest-growing occupations and has projected 31% growth over the coming years. With the ever-growing demand for technological advancement in the UAE, Data Science as a career path is more lucrative now than it has ever been, painting an optimistic job landscape for 2021 and beyond.

Salary Trends

Data Science is one of the most in-demand fields for jobs in 2021. The growing demand for data science and data analytics has led to an increased demand for skilled professionals in this domain across the globe. The average base salary for a Data Analyst is AED 8,500 per month in Dubai, United Arab Emirates.

Demand & Opportunities

Data science is advancing to greater heights every day, faster than many of us ever imagined. With the largest companies in the entire world fueled by data science, the future in this domain is very bright. The Data Science and Big Data Analytics certification give an assurance of the necessary competency in related roles, thus making these opportunities easier to avail.

A few of the most-sought Data Science and Data Analyst jobs available in the Dubai region (as observed in popular Dubai job portals) follow:

  1. Data Analysts scrutinizes information using data analysis tools, interprets data, and turn it into information that can offer ways to improve a business, thus affecting business decisions
  2. Data Analytics Engineers research trends in data sets and develop algorithms to help make raw data more useful to the enterprises
  3. Data Engineers build data ingestion pipelines and the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of sources to the cloud
  4. Data Scientists interpret and analyze data from multiple sources to come up with valuable insights that an organization needs for better decision making
  5. Chief Data Officers oversee the collection, management, and storage of data across an organization

Course Outcome

Successful completion of the Data Science and Big Data Analytics course will help you to:

  • Gain a deep understanding of Data Science and Data Analytics concepts
  • Understand basic and advanced analytic methods
  • Apply appropriate analytic techniques and tools to analyze big data
  • Create statistical models, and identify insights
  • Manage a data analytics project through the entire lifecycle

Course Module

  • Working knowledge of C#, MVC, HTML 5 A strong quantitative background with a solid understanding of basic statisticsStrong programming skills, particularly in languages like Python and R
  • Experience with a scripting language, such as Java, Perl, or Python (or R)
  • Many of the lab examples taught in the course use R (with an RStudio GUI), which is an open-source statistical tool and programming
  • Experience with SQL
  • Familiarity with cloud computing and big data technologies, such as Hadoop, Spark, and NoSQL databases
  • Business/Domain knowledge 
  • Hacking/Programming Skills 
  • Statistics
  • Machine Learning
  • Basic Statistics 
  • Exploratory Graphs 
  • Exploratory Statistics
  • Hypothesis Testing 
  • Confidence 
  • Validating
  • Introduction To Visual Analytics 
  • Interpretability
  • Actionable Insights
  • Various Graphical Representations

Big Data Introduction

  • What is Big Data?
  • Data Analytics
  • Big Data Challenges
  • Technologies Supported By Big Data

Hadoop Introduction

  • What is Hadoop?
  • History of Hadoop
  • Basic Concepts
  • Future of Hadoop
  • The Hadoop Distributed file system 
  • Anatomy of a Hadoop cluster 
  • Breakthroughs of Hadoop
  • Hadoop Distributions: Apache Hadoop 
  • Cloudera Hadoop
  • Hortonworks Hadoop 
  • MapR Hadoop
  • Blocks and Input Splits
  • Data Replication
  • Hadoop Rack Awareness
  • Cluster Architecture And Block Placement 
  • Accessing HDFS
  • JAVA Approach 
  • CLI Approach
  • Basic API Concepts
  • The Driver Class
  • The Mapper Class
  • The Reducer Class
  • The Combiner Class
  • The Partitioner Class
  • Examining a Sample MapReduce Program With Several Examples 
  • Hadoop's Streaming API
  • HIVE Concepts
  • HIVE Architecture
  • Installing And Configuring HIVE
  • Managed Tables and External Tables
  • Joins in HIVE
  • Multiple Ways Of Inserting Data in HIVE Tables 
  • CTAS, Views, Alter Tables
  • User-Defined Functions In HIVE
  • HBase Concepts
  • ZOOKEEPER Concepts
  • HBase and Region Server Architecture 
  • File Storage Architecture
  • NoSQL vs SQL
  • Dening Schema and Basic Operations 
  • DDLs
  • DMLs
  • HBase Use Cases
  • FLUME Concepts
  • FLUME Architecture 
  • Installation and Configurations
  • Executing FLUME Jobs
  • MapReduce and HIVE Integration 
  • MapReduce and HBase Integration 
  • Java and HIVE Integration 
  • HIVE-HBase Integration
  • Business Analytics vs Big Data vs Data Science 
  • Components of Data Science: Venn Diagram 
  • Understanding Data Science Pipeline
  • Roles And Jobs In Data Science In The Market 
  • Data Science Team Structure
  • Reading From Existing Data from Flat Files And Database 
  • APIs
  • Web Scraping
  • Other Data-Gathering Methods 
  • Hands-On Importing Data
  • Programming Basics 
  • Python Overview
  • R Overview
  • SQL
  • Decision Trees
  • Ensembles
  • K-nearest neighbors (KNN) 
  • Naive Bayes Classifiers 
  • Artificial Neural Networks
  • Data Science Learning Sources
  • Data Science Relevance In Your Career
  • How Should a Data Scientist’s Resume Look Like 
  • Tips On Job Applications
  • Name Node
  • Data Node
  • Secondary Name Node 
  • Job Tracker
  • Task Tracker
  • Local Mode
  • Pseudo-Distributed Mode
  • Fully Distributed Mode
  • Pseudo Mode Installation And Configurations 
  • HDFS Basic Operation
  • PIG Concepts
  • Install And Configure PIG On A Cluster 
  • PIG Vs MapReduce And SQL
  • Write Sample PIG Latin Scripts 
  • Modes Of Running PIG
  • PIG UDFs
  • SQOOP Concepts
  • SQOOP Architecture
  • Connecting To RDBMS
  • Internal Mechanism of Import/Export 
  • Import data From Oracle/MySQL to HIVE 
  • Export data to Oracle/MySQL
  • Other SQOOP Commands
  • OOZIE Concepts
  • OOZIE Architecture
  • Workflow Engine
  • Job Coordinator
  • Installing and Configuring OOZIE 
  • HPDL and XML For Creating Workflows 
  • Nodes In OOZIE
  • Action Nodes and Control Nodes
  • Accessing OOZIE Jobs Through CLI, and Web Console 
  • Develop and Run Sample Workflows in OOZIE
  • Run MapReduce Programs
  • Run HIVE Scripts/Jobs
  • Data Analytics Using Pentaho as an ETL Tool 
  • Big Data Integration with Zero Coding Required

Program Dates

22 Jun
  • 02:00 PM
  • Sat
  • Classroom
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30 Jun
  • 04:00 PM
  • Sun
  • Classroom
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Expert Instructors & Teaching Methods



We, at Learners Point, take immense pride in our teaching methods and instructors. Our instructors are some of the best experts in their fields and employ a practical approach to learning. Many of them are globally recognised and have a diverse set of experience in their field of expertise. You are always sure to have the best in the industry as your teachers who are ready to guide you at every step and make the experience informative yet enjoyable.  Apart from the focus on learning your chosen course, our instructors also encourage students to develop communication skills and interpersonal skills necessary to excel in the practical world.

Our cutting edge teaching methods make every program an immersive and productive experience for the learners. Our learning methods are research-driven and are continuously updated to stay relevant to present times as well as the future. You will enjoy practical applications of everything learned through theory and regular mock examinations to help monitor your progress. Our courses are led by an instructor in a classroom setup and we do offer online high-quality sessions as well for individuals. We also monitor the training sessions with a progress tracker to maintain high standards of instruction & ethics.

Our Trainers

Why Count on Learners Point?

Being the leading providers of the Data Science and Big Data Analytics course in Dubai, at Learners Point we help professionals master the necessary skill sets to successfully complete the Data Science and Big Data Analytics certification.

Following are the USPs our Data Science and Big Data Analytics training course offers you:

  • We look at real-world scenarios organizations face and formulate our Data Science and Big Data Analytics training course evaluating practical requirements
  • Apart from theoretical knowledge, we also focus on practical case studies to give you a reality check and insight into what exactly will be asked of you while delivering in a demanding role
  • Our bespoke Data Science and Big Data Analytics course also equips you with hands-on experience by offering assignments related to the actual work environment
  • Apart from organizing group sessions, we also offer a guided learning experience to enhance the quality of our Data Science and Big Data Analytics training program
  • We also take a discrete approach to career guidance so that one can be successfully placed as a professional

Learners Experience

"I took this course because I wanted to switch careers into data science, and it was the best decision I could have made. The course covered everything from data wrangling to model deployment, and the instructors provided lots of resources for job hunting. I was able to land a job in data science within a few months of completing the course!"

Shoaib Malik

Machine Learning Engineer

"What I loved most about this course was the emphasis on collaboration. The group projects allowed me to work with other students with different skill sets and backgrounds. Together, we were able to come up with solutions that none of us could have come up with alone. This course definitely prepared me for working in a team environment."

Yusuf Wazir

Data Analyst

"As someone with a background in programming but not data science, I appreciated the way this course explained complex concepts in a way that was easy to understand. The instructors were knowledgeable and patient, and the course materials were well-organized. I now feel confident in my ability to build predictive models and analyze large datasets."

Selina Foakes

Business Intelligence Analyst

"This course was intense, but it was worth it. I learned so much about machine learning algorithms and big data processing. The hands-on projects were challenging, but they gave me a chance to apply what I learned in real-world scenarios. I'm excited to see where I can take these skills in my career."

Hasan Ul Haq

Big Data Engineer

"Before taking this course, I was completely lost when it came to data analysis. But after completing it, I feel like I have a solid foundation in statistical methods and data visualization. I've already started applying these skills in my job and it's made a huge difference in the insights I can provide to my team."

Maurin Graham

Data Scientist

Our Graduates

Our graduates are from big companies, small, companies, they are founders, career changers and life long learners. Join us and meet your tribe!

FAQs on Data Science & Big Data Analytics

With Data Science taking over today’s business world, it is always a great choice to flourish in this domain. This sector offers ample job opportunities for professionals with the right skillset. With nearly every industry at its peak of major digital transformation, professionals can have a promising future with a career in Data Science and Big Data Analytics.
Recent reports show that the companies now are better equipped for setting up future goals to employ professionals who are capable of offering Big Data solutions efficiently and effectively. The Data Science and Big Data Analytics course in Dubai enhances one’s knowledge of Big Data and Data Analytics enabling him/her to leverage the concepts for driving better business decisions. This training also elevates one’s professional value and makes him/her stand out in today’s competitive world.
The Data Science and Big Data Analytics course in Dubai is a perfect fit for anyone interested in learning about big data analytics methods and data science concepts. It is ideal for:

1) Professionals working in Business
2) Intelligence, Analytics, and Big Data
3) Business/Data Analysts
4) Data Scientists
5) Graduate students
The training sessions at Learners Point are interactive, immersive, and intensive hands-on programs. We offer 3 modes of delivery and participants can choose from instructor-led classroom-based group coaching, one-to-one training session, or high-quality live and interactive online sessions as per convenience.
With technological advancements in the UAE, Dubai is now becoming the home to tech savvies. Professionals with significant experience in Data Analytics and conceptual understanding of Data Science can bring their careers one level up. The demand for Data Science and Big Data Analytics skilled professionals is all set to rise at an impressive rate in the UAE making it the ideal location for a futuristic career.
The potential for Big Data and Data Science is huge in the future as it is an unavoidable trend in a wide range of industries. Due to its complexity, professionals are to be trained by industry experts to master this field. The Data Science and Big Data Analytics course train participants to gain the knowledge and skills for applying appropriate analytic techniques and tools for analyzing big data. This course assures professionals with essential data analytical skills for a promising future.
Yes, to understand the concepts better, we do recommend participants to possess the following knowledge before enrolling in the Data Science and Big Data Analytics course:

1) Strong quantitative background with a solid understanding of basic statistics.
2) Experience with a scripting language, such as Java, Perl or Python, and R.
3) Experience with SQL
At Learners Point, if a participant doesn’t wish to proceed with the training after the registration due to any reason, he or she is entitled to a 100% refund. However, the refund will be issued only if we are notified in writing within 2 days from the date of registration. The refund will be processed within 4 weeks from the day of exit.
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