Learn the Data Analysis Course and Skill up your Analytics and Machine Learning Expertise

Mode of Study

Online

Program Duration

3 Months

In today's data-driven world, the ability to extract meaningful insights from vast quantities of data is critical. Data Analysis course will provide you with the complete skills to navigate the complex world of data and make decisions based on facts. Whether you're an experienced professional trying to improve your skills or a recent college graduate looking to enter the field of data science, this course is designed to suit your requirements.

The Future is here with Data Analysis in UAE

The Data Analysis course is designed to skill up students and aspiring working professionals to understand how to transform raw data into actionable insights. The certification integrates foundational knowledge with advanced analytical tools, enabling students to be experts in a data-driven world. The course teaches key areas such as statistical analysis, data visualization, machine learning, and predictive modeling, gaining hands-on experience with industry-standard tools like Python, R, and Tableau.

As the world around us evolves with the rapid growth of data, so Dubai has become a global hub for technology and innovation, offering unparalleled opportunities for data analysts. This program not only equips students with technical skills but also encourages critical thinking and problem-solving abilities, essential for addressing real-world challenges. Whether you aim to advance your career or wish to join the lucrative field of data analytics, this program provides the expertise and credentials to thrive in competitive markets.

Course Objective

The key objective of a data analysis program in Dubai is to provide students with the skills needed to:

  • Collect and Clean Data: Learn how to obtain relevant data from a variety of sources and prepare it for analysis.
  • Explore and Visualize Data: Using excellent data visualization tools, you can uncover hidden patterns and trends.
  • Analyze data: Use statistical approaches and machine learning algorithms to reach relevant findings.
  • Interpret and communicate findings: Present insights to stakeholders effectively and clearly.
  • Solve real-world problems: Use data-driven solutions to address issues across sectors.

Expertise in

data-analysis

Course Modules

PYTHON
  • Introduction to programming.
  • Data types, Operators, Conditional statements.
  • Loops, Functions, Recursion, lambdas, List Comprehensions.
  • Classes and Objects, Exception Handling, Modules, Packages.
  • String handling, Manipulations.
  • Numpy, Pandas, Matplotlib, and Seaborn.
  • Project Work with Assessments.
POWER BI
  • Connecting to data sources, Creating dashboards and reports.
  • Creating visualizations: Bar charts, Pie charts, etc.
  • Real-time data streaming capabilities.
  • Relationships between tables and measures, and use DAX formulas.
  • Advanced features: Calculations, Drill-through, and Hierarchies.
SQL
  • Database Management System.
  • RDBMS and Non RDBMS.
  • MySQL, NoSQL, PostGreySQL.
  • DDL, DML, DQL, DCL.
  • Schema.
  • Joins, Nested Joins.
  • SQL query Optimization.
LOOKER STUDIO
  • Connecting to data sources, Creating dashboards and reports.
  • Exploring data: Views, Fields, and Filters.
  • Advanced features: Derived tables.
  • Merged queries, and LookML.
  • Dash-Boarding.
  • Analytics.
  • Dynamic Data Sync using Google Sheets.
MS-EXCEL
  • Introduction to Excel, Advanced Functions, and Formulas.
  • Data Analysis using pivot tables and Visualization techniques.
  • Advanced Chart Techniques and dashboarding.
  • Import data from a range of sources, including text files, databases.
PROJECTS
  • The final project will give students the opportunity to demonstrate their understanding of the tools by using one of the tools to create a project.

Program Specification

Duration Class Duration Key Features
3-4 Months 1.5 HRS. (Mon-Sat)
  • Real time use cases and projects included.
  • Assured Job and Internship Opportunities
  • Training material with Exercises.
  • Assignments and Quizzes.

Learning outcomes

    Business Analysts
  • Develop advanced data modeling skills to improve business decision-making processes.
  • Utilize analytical tools like Tableau and Power BI for impactful visual storytelling.
  • Master predictive analytics techniques to forecast trends and optimize operations.
  • Enhance the ability to translate complex data into actionable business insights.
    Senior Managers
  • Gain a strategic understanding of data’s role in organizational growth.
  • Leverage analytics to drive data-informed decision-making across departments.
  • Implement performance metrics and KPIs based on robust data analysis.
  • Understand the ethical considerations and governance of data in leadership roles.
    Directors
  • Build competency in using data for strategic planning and innovation.
  • Oversee large-scale analytics projects and drive enterprise-wide adoption of data-driven practices.
  • Develop frameworks to measure ROI on data initiatives.
  • Align data strategies with organizational goals and market dynamics.
    Marketing Specialists
  • Use data analytics to understand consumer behavior and optimize marketing campaigns.
  • Apply segmentation and clustering techniques for targeted marketing.
  • Analyze campaign performance using key metrics and refine strategies accordingly.
  • Master tools like Google Analytics and predictive models for marketing optimization.
    Finance Professionals
  • Perform financial forecasting using advanced analytical methods.
  • Use data visualization to present financial insights to stakeholders.
  • Enhance risk assessment capabilities through predictive analytics.
  • Master tools like Excel, Python, and SQL for financial data management.
    HR Professionals
  • Leverage data to track employee performance and optimize workforce planning.
  • Analyze HR metrics such as turnover rates and engagement levels for informed decision-making.
  • Use predictive analytics to forecast hiring needs and talent retention.
  • Enhance HR reporting with interactive dashboards and visualizations.
    Junior to Mid-Level Data Analysts
  • Strengthen technical skills in programming languages like Python and R.
  • Build foundational expertise in data cleaning, transformation, and visualization.
  • Learn to develop and interpret machine learning models.
  • Acquire experience in solving real-world business problems through capstone projects.

High Paying Salaries

Most Demanding Technology

Versatile Applications

Also Includes

  • Doubt Clearing Sessions
  • Mentorship Sessions
  • Real Time Projects
  • Full Day Practice Labs
  • Industry Expert Guest Lectures
  • Internship & Job Opportunities

Why Choose ASTI Dubai for Data Analysis?

Experienced Faculty

Learn from data analysis experts with experience.

Industry Partnerships

Stay ahead with a syllabus designed in collaboration with leading data analytics professionals.

Global Opportunities

Leverage Dubai’s position as a tech hub for networking and internships.

Supportive Learning Environment

A conducive atmosphere for academic and personal growth.

Frequently Asked Questions

What are the Prerequisites to join the course?

While a background in statistics and programming is beneficial, it’s not mandatory to join the program. The course is designed to accommodate learners with diverse skill levels.

Is This Program Beginner-Friendly?

Absolutely! The program is structured to cater to both beginners and experienced professionals, ensuring that everyone gains valuable skills regardless of their prior knowledge.

what are the Career Opportunities Post-Graduation?

Upon completing the course, graduates can explore dynamic roles such as Data Analyst, Business Analyst, Data Scientist, and various other data-centric positions across industries.

What is the Program Duration?

The program is designed to be completed within 4 months, offering an intensive and focused learning experience.

Who Can Benefit from This Program?

This course is perfect for fresh graduates aiming to build a strong foundation, working professionals seeking career advancement, and entrepreneurs looking to leverage data for business growth.

Is Prior Coding Experience Necessary?

No. The program includes beginner-friendly modules, making it accessible to those with no prior coding experience. However, a basic understanding of coding concepts can be advantageous.

What is the Career Support at ASTI?

ASTI is committed to your success. We offer comprehensive career support, including resume-building workshops, mock interviews, and access to a robust network of industry connections to help you secure top roles in the field.

What are the 4 reasons to study Data Analysis Course?

High Demand

Data analysis is one of the fastest-growing fields, with global demand for skilled professionals outpacing supply.

Lucrative Career Paths

Professionals in data analysis get competitive salaries and diverse career opportunities across industries.

Global Impact

Data analysis skills are acceptable across industries and places.

Continuous Learning

The field of data analysis is constantly evolving, offering opportunities for lifelong learning.

We have changed the lives of over 300,000 students since 1995. Now it’s your turn!

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