Data Science & Big Data Analytics

Comprehensive training in Data Analytics and Big Data

Practical, hands-on experience with industry projects

Learn skills that are in high demand globally

Full coverage of the Data Analytics lifecycle

40-hour intensive course

Flexible learning schedules to fit your needs

Convenient and affordable payment plans

4.6/5

2365 Enrolled

Overview

What our training includes

Prepares professionals to leverage Big Data and Analytics for business solutions
Provides foundational and advanced training in Data Science and Big Data Analytics
Offers hands-on experience with real-world data analytics challenges
Equips participants with skills to apply theoretical concepts to practical scenarios
Enhances data analytical knowledge and ability to use analytic tools effectively
Empower professionals to gain a competitive edge in the job market
Demonstrates expertise in handling large datasets and sophisticated analytics techniques

Learning Objectives

Upon finishing the training, you will be able 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 analyse big data

Create statistical models, and identify insights

Manage a data analytics project through the entire lifecycle

Ready to get started?

Prerequisites

Somethings you need before starting

Working knowledge of C#, MVC, HTML 5
A strong quantitative background with a solid understanding of basic statistics
Strong 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

Overall ratings by our students

Upcoming sessions

Our Trainers

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.

KHDA Certificate

Earn a KHDA attested Course Certificate. The Knowledge and Human Development Authority (KHDA) is the educational quality assurance and regulatory authority of the Government of Dubai, United Arab Emirates.

Learners Point Certificate

Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.

Related courses

Curriculum

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

Business/Domain knowledge
Hacking/Programming Skills
Statistics
Machine Learning

Reading From Existing Data from Flat Files And Database
APIs
Web Scraping
Other Data-Gathering Methods
Hands-On Importing Data

Basic Statistics
Exploratory Graphs
Exploratory Statistics

Programming Basics
Python Overview
R Overview
SQL

Hypothesis Testing
Confidence
Validating

Decision Trees
Ensembles
K-nearest neighbors (KNN)
Naive Bayes Classifiers
Artificial Neural Networks

Introduction To Visual Analytics
Interpretability
Actionable Insights
Various Graphical Representations

Data Science Learning Sources
Data Science Relevance In Your Career
How Should a Data Scientist’s Resume Look Like
Tips On Job Applications

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

Name Node
Data Node
Secondary Name Node
Job Tracker
Task Tracker

Blocks and Input Splits
Data Replication
Hadoop Rack Awareness
Cluster Architecture And Block Placement
Accessing HDFS
JAVA Approach
CLI Approach

Local Mode
Pseudo-Distributed Mode
Fully Distributed Mode
Pseudo Mode Installation And Configurations
HDFS Basic Operation

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

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

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
HIVE UDF

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

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

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

FLUME Concepts
FLUME Architecture
Installation and Configurations
Executing FLUME Jobs

Data Analytics Using Pentaho as an ETL Tool
Big Data Integration with Zero Coding Required

MapReduce and HIVE Integration
MapReduce and HBase Integration
Java and HIVE Integration
HIVE-HBase Integration

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Frequently asked questions

Our Data Science and Big Data Analytics course involves using advanced techniques to analyze large and diverse datasets. This includes both structured and unstructured data. These datasets often arrive in real-time and require specialized methods to extract meaningful insights.

The career opportunities after completing a Data Science course in Dubai are as follows:

Data Scientist
Data Analyst
Machine Learning Engineer
Artificial Intelligence Engineer
Market Research Analyst

Yes, along with programming knowledge, these information are also required for professionals:

Working knowledge of C#, MVC, HTML 5
A strong quantitative background with a solid understanding of basic statistics
Strong 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

Big data analytics offers advantages to a wide range of industries, including:

Retail
Healthcare
Manufacturing
Banking and Finance
Supply Chain Management

Professionals will learn the following course modules. The course modules are as follows:

Data Science: Areas of Study
Data Sources and Importing Techniques
Data Exploratory Analysis
Introduction to Applied Statistics
Data Science Programming and many more

The demand for data scientists in the UAE is rising quickly. Recent data from Indeed shows a significant increase of over 50% in job postings for data scientists within the past year.