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BERKELEY SCHOOL OF BUSINESS, ARTS & SCIENCES

Certified Data Analyst Professional

The CDAP certification empowers professionals with hands-on data analytics skills, covering tools like Excel, SQL, Python, and BI platforms. It’s ideal for roles focused on data interpretation and business decision-making.

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Overview

The Certified Data Analyst Professional (CDAP) certification is a globally recognized credential that equips individuals with essential skills in data analytics, visualization, and business intelligence. It is designed for professionals seeking to analyze complex datasets, derive actionable insights, and support decision-making processes in organizations. This certification covers core analytical tools such as Excel, SQL, Python, and BI platforms like Power BI or Tableau. Earning a CDAP opens doors to data-driven roles across multiple industries.

Offered By

Berkeley School of Business Arts & Sciences
 

What is the Eligibility?

Typically, there are no specific prerequisites for this certification. It is suitable for individuals interested in Certified Data Analyst Professional (CDAP), regardless of their background

Who can do?
anyone who is interested to learn about following concepts can pursue Certified Data Analyst Professional:
Basics of data analysis, Excel for data visualization, SQL querying for databases, Python for analytics, Data visualization with Tableau, Dashboard creation in Power BI, Interpreting trends and patterns, Presenting data-driven insights.
individuals with the following designations:
With a Certified Data Analyst Professional (CDAP) credential, individuals can pursue roles such as Data Analyst, Business Intelligence Analyst, Junior Data Scientist, Reporting Analyst, and Data Visualization Specialist. These designations offer pathways into strategic, decision-making positions across industries like healthcare, finance, marketing, and logistics..

Course structure

Module 1: Introduction to Data Analytics and Excel Fundamentals

This module lays the groundwork for understanding data analytics concepts, key terminologies, and analytical thinking. Learners will also master Excel functions, pivot tables, and data cleaning techniques essential for analysis.

Module 2: Database Management and SQL for Data Analysis

Students will explore relational databases and gain hands-on experience using SQL for querying, joining tables, filtering, and aggregating data. The focus is on structuring datasets and extracting actionable insights from large databases.

Module 3: Python Programming for Data Analytics

This module introduces Python basics including variables, loops, and functions, then moves into data manipulation using Pandas and NumPy. Learners will automate tasks and perform statistical analysis using real-world datasets.

Module 4: Data Visualization with Tableau and Power BI

Participants will learn how to create dynamic dashboards and interactive visualizations using Tableau and Power BI. The module emphasizes turning complex data into understandable, visual business narratives.

Module 5: Real-World Applications and Capstone Project

Learners apply all acquired skills in a real-world capstone project, simulating a professional data analyst task. The final project involves solving a business case using data tools, presenting findings, and making recommendations.

Lecture plan

Module 1: Introduction to Data Analytics and Excel Fundamentals (3Hours)

Module 1: Introduction to Data Analytics and Excel Fundamentals (3Hours)

Module 2: Database Management and SQL for Data Analysis (3Hours)

Module 2: Database Management and SQL for Data Analysis (3Hours)

Module 3: Python Programming for Data Analytics (3Hours)

Module 3: Python Programming for Data Analytics (3Hours)

Module 4: Data Visualization with Tableau and Power BI (3Hours)

Module 4: Data Visualization with Tableau and Power BI (3Hours)

Module 5: Real-World Applications and Capstone Project (3Hours)

Module 5: Real-World Applications and Capstone Project (3Hours)

Learning Methodology

Berkeley offers expertly developed learning materials tailored to meet participants' needs, ensuring comprehensive coverage of the syllabus and optimal exam preparation.

‣ Tailored Material: Guides are designed to cover the entire syllabus, offering full preparation and deep understanding.

‣ In-Depth Content: Unlike superficial outlines, our materials provide fully developed theories and concepts, equipping participants with complete knowledge.

‣ Strategic Study: We help participants prioritize study time by indicating the weight of each topic, allowing efficient focus on crucial areas.

‣ Difficulty Levels: Topics are labeled as "Awareness" or "Proficiency," guiding participants to allocate time based on the required depth of knowledge.

‣ Comprehensive Coverage: Our materials include detailed theory and a glossary of technical terms to clarify complex concepts.

‣ Effective Learning Techniques: Visual aids and memorization techniques ensure long-lasting retention, helping candidates succeed.

Berkeley’s methodologies equip participants with the essential knowledge and tools for both exams and future success.

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Lectures

Our lecture plan integrates structured learning with interactive teaching methods, promoting engagement and collaboration. This approach ensures a comprehensive understanding of concepts, fostering critical thinking and practical application in real-world scenarios.

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Practice Session

Practice sessions offer hands-on experience through guided exercises, enhancing skills and reinforcing knowledge. This practical approach ensures mastery of concepts, promoting.

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Mock Examination

Mock examinations simulate real test conditions, providing valuable practice and assessment. This helps identify strengths and weaknesses, ensuring thorough preparation and boosting confidence for actual exams.

berkeley's performance standards

Evaluates and ensure the quality of the training program and all its deliverables.  This is measured through the following indicators:
‣ Instructors' experience and style in presenting and explaining topics.
‣ Variety and balance of teaching methods (such as discussions, case studies, mock exams and videos) used in the course to ensure retention and to match the learning objectives.
‣ Level of interactivity.
‣ Feedback from program participants
‣ Full compliance with Institute standards and guidelines for preparation and study requirements and methodology.
‣ Progress reports from the training program provider.

Success Stories

“As a strong advocate for education and human development, I commend Berkeley for its exceptional commitment to empowering future leaders. The institution stands as a symbol of excellence, innovation, and opportunity. Students who walk its halls are nurtured with knowledge, values, and vision—qualities that contribute to building a stronger and more prosperous future for our nation.”- H.H. Shaikh Khalifa Al Hamid

Visit our Alumni

Alumni Benefits

‣ Exclusive Networking Events: Access invitations to industry-leading events and thought-leadership gatherings featuring renowned speakers.


‣ Monthly Updates: Stay informed with a newsletter highlighting the latest research, events, and activities from the school.


‣ LinkedIn Community Access: Join the Executive Education LinkedIn group for networking and professional development opportunities.


‣ Educational Discounts: Enjoy a 20% discount on open-enrollment programs and access to workshops focused on emerging trends.


‣ Global Alumni Network: Connect with a diverse alumni community through the Berkeley School’s online network and engage in country and interest groups.

Is It Worth the Investment?

UK: £35,000–£55,000

USA: $60,000–$95,000

UAE: AED 120,000–180,000

Canada: CAD 55,000–85,000

KSA: SAR 110,000–160,000

Salaries vary based on experience, industry, and location. CDAP professionals are in high demand, with growing opportunities in sectors adapting to digital transformation and data-centric decision-making.

What You Earn

You will get a certificate of completion, which is highly reputed and accepted by employers

Industry Relevance

CDAP aligns with market demands across finance, healthcare, retail, and tech industries.

Technical Skills

Master essential tools like Python, SQL, Excel, Tableau, and Power BI.

Future Trends

Stay relevant with knowledge of AI-driven analytics and big data solutions.

Career Advancement

CDAP opens doors to high-growth roles and leadership opportunities in data-driven organizations.

Fundamental Knowledge

It builds a strong foundation in data manipulation, analysis, and visualization.

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FAQ: Certified Data Analyst Professional

contact us for more information or to apply for admission. Seats fill up quickly, so we encourage early registration!

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