Top 5 Data Analytics Courses In Qatar With Practical Training

The most valuable resource today in the world driven by digital technology is data. Every business needs it because it makes choices more accessible and quicker. The data analytics industry is anticipated to experience a new high opening shortly. It has fully risen as compared to previously. Finding a decent job and making career plans both demand a strong educational foundation. The major goal of this research is to create a list of the top data analytics courses in Qatar that also provide job placement assistance.

This article about the top data analysis courses in Qatar will aid applicants in locating and selecting the ideal program and institution through which they may further their careers. The outcome of the in-depth study is based on four main criteria: curriculum depth, interactive hands-on learning, program recognition, and student experience. Why not check for reputable data analytics courses in Qatar and enroll in those that will open up a plethora of opportunities for you later on? Let’s have a look at the courses offered in Qatar. Here I am going to discuss the top 5 Data Analytics courses in Qatar with placements but first, we will understand data analytics and why it is so important.

What is Data Analytics?

Data analytics is the discipline of analyzing raw data to make conclusions about it. Many data analytics approaches, and procedures have been turned into mechanical processes and algorithms that use raw data for organizational purposes.

• Data analytics is the practice of analyzing unrefined data to make conclusions about these kinds of data.
• A company can increase productivity, maximize revenue, or develop more strategically sound decisions with the use of data analytics.
• Data analytics approaches and procedures have been mechanized into mechanical processes and algorithms that operate on raw data for organizational applications.
• Data analytics may take many different forms, such as looking at what occurred, why something occurred, what will happen, what needs to be done ahead, or all of the above.
• For the most extensive data manipulation, data analytics relies on several software tools, including spreadsheets, data visualization, and reporting tools, data mining applications, or open-source languages.

Understanding Data Analytics

The term “data analytics” is generally broad and encompasses a variety of data analysis methods. Data analytics methodologies can be used to analyze any sort of information to get insight that can be utilized to make things better. By using data analytics techniques, correlations and signs that would normally get buried in the massive amount of information can be seen. The efficiency of a firm or system may then be improved by using this knowledge to optimize procedures.

More than just identifying process problems is possible with data analytics. To create incentive regimens for individuals that maintain the majority of people engaged in the activity, businesses employ data analytics. To keep you clicking, viewing, or reorganizing material to obtain another look or click, content firms utilize a variety of similar data analytics.

Data analytics is important because it helps businesses enhance their efficiency. Businesses may save costs by developing more efficient methods for conducting business and keeping a lot of data by implementing it into their company plan. Additionally, a corporation may utilize data analytics to improve business choices and track consumer preferences and trends to develop fresh, improved goods and services.

Methods for Data Analysis

Data Analysis Comprises Various Distinct Phases, Including:

• Identifying the data needs or how the data is organized is the first stage. Data may be broken down based on one’s age, gender, profession, or other criteria. Both qualitative and mathematical data values are possible.
• The second stage of data analytics is the method of obtaining data. This may be done using a variety of methods, including technology, the online world, camera systems, environmental elements, and human workers.
• After being gathered, the data has to be arranged before analysis. This might be done using a spreadsheet or another type of program that can handle statistical data.
• After cleaning up the data, analysis follows. This signifies that the information has been edited and double-checked to ensure that there aren’t any errors, duplicates, or incomplete pieces of information. This phase assists in the rectification of any errors before the information is handed over to a data analyst for assessment.

Types of Data Analytics

There Are Four Primary Categories of Data Analytics:

Descriptive Analytics

It is likely the top layer of info that you may examine and communicate regarding historical data. In this situation, all you need to do is gather the data, at which point you may create a summary and look for different kinds of patterns. You should just try to comprehend the data’s descriptive statistics. It is not related to past data in any way.

Diagnostic Analytics

Let’s say you were curious about the reason why the company’s sales were declining. What kinds of problems has the business had in the past? You’ll be able to determine that through diagnostic analysis. You most likely become a data analyst after finishing Indore data analytics training. To obtain good outcomes, you will examine the sales-related data and analyze it using regression models, filtering, or time-series analysis.

Predictive Analytics

The header may have given you a hint. Predictive analysis is primarily utilized to understand the company’s potential shortly. Their prior data can be used to comprehend the result. It occasionally provides inaccurate data when making important business decisions. Any corporation in these situations primarily needed to anticipate its revenue model.

Prescriptive Analytics

Simply concentrate on the activities you’ll do after forecasting the facts. The market will have access to a variety of data. To comprehend the efficient usage of the models, you just need to concentrate on applying the algorithms and modeling methods.

Data Analytics Techniques

The processing of data and the extraction of knowledge may be done using a variety of analytical techniques and procedures. 

Regression Analysis

Regression analysis involves examining the connections between the dependent variables to see how a change in one can impact a change in the other.

Factor Analysis

Factor analysis involves reducing a huge data set to a smaller collection of data. It is intended that through utilizing this method, anomalies may be found that would have been more challenging to notice in the past.

Cohort Analysis

Data collection is segmented into groups of comparable data using a procedure called cohort analysis, which is frequently done using customer demographics. This makes it possible for data analysts and some other practitioners of data analytics to delve deeper into the statistics about a particular subset of data.

Monte Carlo Simulations

Monte Carlo simulations model the probability that different occurrences will take place. These simulations, which frequently include many parameters and variables and frequently have better predicting skills than most other data analytics techniques, are frequently utilized for risk reduction and loss prevention.

Time Series Analysis

Data is tracked throughout time using time series analysis, which establishes a connection between the importance of a data item and its frequency. This technique for data analysis is widely used to spot recurring trends or forecast revenue figures.

List of Top Data Analytics Courses in Qatar

The Top Data Analytics Courses in Qatar with Placements Are as Follows:

1. IIM SKILLS

IIM SKILLS is globally known and ranked on top list for offering wide range of skill development courses. Data analytics is one of their most recommended courses. The course is well designed by their highly skilled and experienced mentors. The data analytics course with IIM SKILLS is a 6-month course with live online training & 2 months of unpaid internship. Their internship is optional.

Modules Covered:

Module Name	Important Topic
Module 1: Basic and Advance Excel	Introduction to Data Handling
	Data Manipulation Using Functions
	Data Analysis and Reporting
	Data Visualization in Excel
	Overview of Dashboards
Module 2: Visual Basic Application	Introducing VBA
	How VBA Works with Excel
	Key Components of Programming Language
	Programming Constructs in VBA
	Functions & Procedures in VBA
	Objects & Memory Management in VBA
	Error Handling
	Controlling Accessibility of Your Code
	Communicating with Your Users
Module 3: SQL	Basics RDBMS Concepts
	Utilizing the Object Explorer
	Data Based Objects Creation (DDL Commands)
	Data Manipulation (DML Commands)
	Accessing Data from Multiple Tables Using SELECT
	Optimizing Your Work
Module 3.1: SQL Server Reporting Services	Basics of SSRS
	Creating Parameters
	Understanding Visualization
	Creating Visualization Using SSRS
Module 3.2: SQL Server Integration Services	Understanding Basics of SSIS
	Understanding Packages
	Creating Packages to Integrate
	Creating Project Using SSIS
Module 4: Power BI	Introduction
	Data Preparation and Modeling
	Data Analysis Expressions (DAX)
	Reports Development (Visuals in Power BI)
Module 5: Data Analytics Using Python	Introduction to Basic Statistics
	Introduction to Mathematical Foundations
	Introduction to Analytics & Data Science
	Python Essentials (Core)
	Operations with NumPy (Numerical Python)
	Overview of Pandas
	Cleansing Data with Python
	Data Analysis Using Python
	Data Visualization with Python
	Statistical Methods & Hypothesis Testing
Module 6: Tableau	Getting Started
	Data Handling & Summaries
	Reports Development (Visuals in Tableau)
Module 7: R For Data Science	Data Importing/Exporting
	Data Manipulation
	Data Analysis
	Using R with Databases
	Data Visualization with R
	Introduction to Statistics
	Linear Regression: Solving Regression Problems
Module 8: Alteryx	Overview of the Alteryx Course and Fundamental Concepts
	Using the Select Tool to Rename Fields, Change the Data Type
	Understanding the User Environment and Alteryx Settings
	Filtering Data/Data Processing
	Blending/Joining Data from Different Sources
	Data Cleansing
	Impute Values
	Random Sample

Course Details:

• Name – Data Analytics Master Course
• Duration – 6 Month live training + 2 Months optional internship
• Course Fee – 2214.16 Riyal + Taxes

Why You Must Choose IIM SKILLS:

• Data analytics course by IIM SKILLS is a practical learning program that is conducted by the mentors that are highly experienced and are industry experts with 12 plus years of experience.
• Weekly assignments for practical learning experience
• The course provides master certification that helps for better job opportunities.
• Lifetime access to their learning material.
• After every live training session, the recordings are shared which has lifetime access.
• The mentors are always available for assistance and guidance during and after the course.
• Assured job placements.

The Data analytics course with IIM SKILLS is best suitable for all the graduates & post graduate applicants and professionals from IT sectors, banking, marketing managers, sales & network fields. They also offer free demo sessions. With IIM SKILLS the students also get assistance in career guidance, interview preparations & soft skills training.

Professional Courses from IIM SKILLS

• Financial Modeling Course
• Digital Marketing Course
• SEO Course
• Technical Writing Course
• GST Course
• Content Writing Course
• Business Accounting And Taxation Course
• CAT Coaching
• Investment Banking Course

 

2. Knowledge Hut

The Knowledge Hut is offering one of the finest data analytics courses in Qatar. With thorough instruction and career support, the Data Analytics Bootcamp is designed to take you from having no skills to having an outstanding portfolio that earns you a satisfying profession.

In this Data Analytics course in Qatar, you will acquire a variety of skills and technologies starting with mathematical and statistical principles and utilizing well-known tools like Excel and SQL used to organize, analyze, display, and present data. Additionally, seasoned professionals in the field will teach you the finest data analytics approaches. Become well-versed in the various data analytics sub-processes, such as data analysis, data gathering, data management, data organization, data storage, and data visualization. 

With intensive hands-on exercises, frequent examinations, and portfolio-worthy projects that will impress recruiters and open doors to exciting career prospects, the Data Analyst Bootcamp is meant to help you grow your experience and portfolio. After finishing the essential learning modules, you will also get assistance and mentoring for a job as a data analyst. After finishing this Bootcamp, KnowledgeHut will certify you.

Course Curriculum

• Data Analysis with Excel
• Version Control using Git and GitHub
• Maths and Stats Foundations
• Data Analysis using SQL
• Python for Data Analytics
• Advanced Data Analysis with Python
• Data Visualization using Tableau

Key Benefits

• Live Instructor-Led Sessions for 115 Hours
• Self-Paced On-Demand Learning for 171 Hours
• 20 Capstone Projects to Demonstrate Your Talent
• Training Immersive with Over 100 Hands-On Exercises
• 20+ Assignments with Autograding
• A Program to Launch Your Data Analysis Career
• With Dedicated Job Support, secure a tech position.
• In the unusual event that you are not happy within the first two weeks, you will receive 100% of your money back.

Course Fee: $ 2799

Contact: 8000180860

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3. ExcelR

To offer technology professionals and aspirants high-quality upskilling opportunities, IBM and technology expert ExcelR have partnered up. To meet market demands and the needs of those wishing to further their careers in a field of technology other than coding, the Data Analyst Course was developed. To earn your certification, finish this outstanding IBM-powered Data Analyst Certification Course.

Excel, Advanced Excel, SQL, Tableau, Power BI, and the Basics of R & Python are just a few of the technologies covered. In addition to theory courses, you may apply the principles you learn through a range of practical tasks and projects. It is regarded as one of the best data analytics courses in Qatar.

Course Curriculum

• Business Statistics
• Excel: Basics to Advanced
• MySQL
• Tableau
• Power BI
• SAS
• R Basics
• Python Basics

Tools

• Basic and Advanced Excel
• MySQL
• Tableau
• Power BI
• SAS
• R Programming
• Python

Key Benefits

• Excellent instructors from different MNCs
• 60+ case studies and assignments are required to guarantee practical experience.
• Authentic data projects
• committed placement support
• 350+ business companies in a network
• Attend any number of live classes or online sessions for a whole year.
• The cost of Steinbeis Certification is extra

Course Duration: 6 months

Course Fee: $ 750

3. Croma Campus

According to the most recent industry standards, Croma Campus offers the best data analytics courses in Qatar. Professionals will be able to find jobs in MNCs thanks to these training programs. With the aid of higher-level Data Analytics Online Courses, Croma Campus is one of the most highly recommended Data Analytics Courses in Qatar.

It provides hands-on practical knowledge and practical execution on real projects. At Croma Campus, Data Analytics Courses in Qatar are delivered by specialists with 8+ years of expertise executing real-time Data Analytics projects while employed as certified corporate professionals.

The renowned Data Analysis courses in Qatar, Croma Campus, have labs and high-tech infrastructure. Additionally, they offer applicants internet access to servers so they may simply implement the projects at home. More than 3000 students were mentored by Croma Campus in Qatar, which offered extremely affordable Data Analysis Courses in Qatar. The course outline is modified to meet the needs of applicants and businesses.

Course Curriculum

• Introduction to the course
• Descriptive Statistics
• Inferential Statistics
• Regression & ANOVA
• Prescriptive Analytics
• Creating data for analytics through designed experiments
• Creating data for analytics through Active learning
• Creating data for analytics through Reinforcement learning

Key Benefits

• Instructor-led Sessions
• Live project-based instruction from certified professionals in the field.
• Corporate study materials and homework.
• Candidates with training in aptitude and test questions.
• You may connect your learning with current industry solutions with the use of case studies built on leading industry frameworks.
• Through ideal academic work, expanding the area of progress, and developing analytical talents and capabilities.
• Get lifetime access to the course with unlimited access, giving you the flexibility to learn at your speed.
• With no restrictions on learning and comprehensive insight from always accessible help to address all of your course-related questions.
• Each credential linked to the curriculum has links to prestigious colleges, giving participants an advantage to excel in the program.

5. 360DigiTMG

The most extensive data analyst course in Qatar has been established by 360DigiTMG. You become an expert by learning the most critical data processing, analyzing, and storing tools and procedures with these Data Analytics courses in Qatar. 

360DigiTMG offers the best data analytics courses in Qatar. Through the training program, you obtain a solid grasp of data processing tools including Excel, SQL/NoSQL, and data visualization tools like Tableau and PowerBI. The course’s main objective is to provide you with a comprehensive grasp of the many approaches that may be utilized to handle massive data sets through data analytics.

These technologies are studied by the learners as they are utilized to gather and process enormous amounts of data. This course is for professionals who wish to learn in-depth knowledge on regularly used Data frameworks. You will learn how to maintain massive datasets in traditional or memorandum database systems, extract them when needed, make changes to them, and evaluate the results.

Course Curriculum

SQL/NoSQL: 

• What is Database
• Types of Databases
• DBMS vs RDBMS
• DBMS Architecture
• Three schema Architecture
• Install PostgreSQL
• Install MySQL
• Data Models
• DBMS Language
• ACID Properties in DBMS
• What is SQL
• SQL Data Types
• SQL Operators
• SQL Keys
• SQL Joins
• GROUP BY, HAVING, ORDER BY
• Subqueries with select, insert, update, delete statements?
• Views in SQL
• SQL Set Operations and Types
• SQL Triggers
• Structured Data vs Unstructured Data
• Types of Databases
• SQL vs NoSQL
• Types of NoSQL Databases
• CRUD operations
• Introduction to MongoDB
• Documents and Collections
• Querying with MongoDB

Power BI Course:

• Introduction to Power BI
• Power BI Desktop
• DATA MODELLING & DAX
• Data Visualizations
• Power BI Q&A and Data Insights
• Power BI Report Server
• Data Visualization with Analytics 

Data Analytics Using Excel:

• Statistical Analysis using Excel
• Business Moments
• Graphical Techniques using Excel
• Inferential Statistics
• Hypothesis Testing using Excel
• Entering and Editing Text and Formulas
• Woking with Basic Excel Functions
• Formatting Data in an Excel Worksheet
• Creating Basic Charts in excel
• Excel Functions
• Working with an Excel List
• List Functions
• Data Validation
• Pivot Tables
• Conditional Functions
• Lookup Functions
• Text-Based Functions
• What-IF Tools
• Understanding Why and How behind Excel Macros

Key Benefits:

• They provide our students with both in-person and online learning choices. They encourage and incorporate e-learning within the curriculum.
• Review sessions for LinkedIn and resumes
• Jobs in the domains of data analytics
• Countless Mock Interview and Test Sessions
• Practical experience on a real-world project
• Permanent LMS Access
• Live, no-cost webinars
• Offering Free Courses
• 24/7 assistance
• 56 Hours of Online and Classroom Sessions
• 100% Job Assistance, 20+ Hours of Assignments, and Online Learning
• 1 capstone assignment
• Training for Industry Placement

Course Duration: 3 months

6. NIIT

NIIT Qatar offers one of the best data analytics courses in Qatar. Both graduates and undergraduates can enroll in a variety of professional programs at NIIT Qatar that will prepare them for ambitious jobs. These programs are intended to provide a solid basis for young people who are looking for their first job.

The curriculum’s innovative design incorporates several components, each of which is intended to lay a solid foundation for the field and give students the skills they need to be lifelong learners—not just for their first jobs.

Course Curriculum

• Data Analysis in Excel
• Statistics for Analytics
• Programming in R
• Machine Learning

Key Benefits

• With the use of projects that mimic real-world circumstances, students may apply their knowledge.
• Objective-driven sessions continuously maintain the student’s and his mentor’s attention on the current work at hand while moving up a clearly defined spiral of learning.
• Every learner has the chance to refine their learning through guided practice at their speed. When not under pressure, Guided
• Practice allows the student to go beyond the lessons learned in the classroom and accumulate extra practice time, which is something that future employers will find important and unique.
• Experts in education and the workplace, NIIT specialists have at least 15 years of practical experience and are supported by several certificates and degrees.

Course Duration: 50 Hours

Contact: +974 5065 6051 | +974 4455 1796 | +974 4455 1798

Email: [email protected]

FAQs on Data Analytics Courses in Qatar

Q1. What prerequisites must one have to enroll in Data Analysis courses in Qatar?

The prerequisites to pursue and enroll in Data Analysis courses in Qatar are as follows:

• The candidate must have a minimum of 60% on their transcript.
• The candidate must be a strong mathematician, statistics, programming, business intelligence

Q2. What are the most important things to keep in mind if you want to be a successful data analyst?

You need to concentrate on a few things, such as how to use the tools for data visualization. You might need to be familiar with the programming language and the tools needed for data analysis. You must comprehend statistics and machine learning algorithms. when you are mathematically and statistically literate. It will then be beneficial for you to comprehend the issue. You may, of course, start from scratch without any problems. Simply practice comprehending the procedure.

Q3. What career options are available to graduates of such the best data analysis courses in Qatar?

After finishing one of these Data Analysis courses in Qatar, candidates may choose from the following career profiles.

• Data Analyst
• Data Scientist
• Data Administrator
• Data Manager
• Data Architect

Final thoughts on the top Data Analytics Courses in Qatar

A top-ranked institution around the globe offers data analyst programs with placements. It combines the pinnacle of scholarly and professional achievement. The curriculum for this data analyst course is quite thorough and excellent. These programs provide a methodology of participatory learning. The capacity of a company to accomplish its objectives may be greatly impacted by a data analyst’s function, which is in highly high demand.

The performance of the company is positively impacted by data analyst training in Qatar. We hope that this article has given you a better understanding of data analyst jobs, tools, and methodologies.