Certified Data Analyst Certification (CDA – DA4020)

  • Master Data Analysis: Unlock data insights. Gain expertise in statistical modeling, visualization, and decision-making.
  • Validate Your Skills: Stand out with a certified data analyst credential. Excel in data manipulation, mining, and interpretation for business growth.
  • Expand Career Opportunities: Open doors across industries. Analyze complex data, drive strategic planning, and fuel career growth.
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In the rapidly expanding world of big data, the demand for professionals skilled in data analytics is skyrocketing. A certified data analyst certification holds the key to unlocking unparalleled opportunities in this thriving field. This sought-after credential underscores your mastery in interpreting complex data, powering decisions with insights, and steering businesses towards success.

A data analyst certificate is more than a mere credential; it is a testament to your proficiency in handling voluminous data, making sense of patterns, and influencing pivotal business strategies. It illustrates your command over essential areas such as data mining, business intelligence, and comprehensive data analysis.

Data analytics, in essence, is the science of examining raw data with the purpose of drawing meaningful conclusions about the information. It involves applying an algorithmic or mechanical process to derive insights, which can be used to make informed business decisions. By obtaining a data analyst certification, you assure potential employers of your capacity to spearhead this crucial role.

A certified data analyst is a person who has successfully completed a data analyst certification program. This program covers various key areas including data mining and business intelligence. Data mining refers to the process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems. Business intelligence, on the other hand, encompasses strategies and technologies used by enterprises for data analysis of business information.

When you wield a data analyst certificate, you are seen as an expert in not just collecting and storing data but also recognizing trends, developing insights, and contributing to the overall business strategy. This certification lends credibility to your skills and makes you a valuable asset in any organization looking to harness the power of data for growth and innovation.

Data analyst certifications are recognized globally, enhancing your employability on an international level. The certificate guarantees your expertise in data analytics, fostering trust with your employers, and giving you a competitive edge in your career. 

In a world where data is king, the certified data analyst reigns supreme. They have the ability to understand and interpret data, making them indispensable in today's digital age. A data analyst certification sets you apart in this increasingly data-driven world, catapulting you towards in-demand roles with lucrative remuneration.


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Introduction to Data Analysis

  • Overview of data analysis
  • Role and responsibilities of a data analyst
  • Understanding data types and formats
  • Data cleaning and preprocessing techniques

Exploratory Data Analysis

  • Descriptive statistics and data visualization
  • Handling missing data and outliers
  • Data summarization and aggregation
  • Exploring relationships between variables

Data Wrangling and Transformation

  • Data manipulation and transformation techniques
  • Handling categorical and numerical data
  • Feature engineering and dimensionality reduction
  • Data integration and merging

Statistical Analysis

  • Probability theory and distributions
  • Hypothesis testing and confidence intervals
  • Correlation and regression analysis
  • ANOVA and experimental design

Data Mining and Machine Learning

  • Introduction to data mining and machine learning
  • Supervised and unsupervised learning algorithms
  • Model evaluation and performance metrics
  • Feature selection and model tuning

Data Visualization and Communication

  • Principles of effective data visualization
  • Choosing appropriate visualization techniques
  • Designing and creating visualizations
  • Communicating data insights effectively

Data Ethics and Privacy

  • Ethical considerations in data analysis
  • Data privacy and security best practices
  • Legal and regulatory compliance
  • Handling sensitive and confidential data

Tools and Technologies

  • Introduction to data analysis tools (e.g., R, Python, SQL)
  • Data manipulation and analysis libraries (e.g., pandas, NumPy)
  • Data visualization tools (e.g., Tableau, Power BI)
  • Machine learning frameworks (e.g., scikit-learn, TensorFlow)

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Certified Data Analyst

(Test Preparation Study Guide)

Obtain a complimentary study guide for the certified data analyst certification, which serves as a valuable tool for individuals aspiring to enhance their skills and knowledge as analysts.


The Benefits

International Credential

IABAC is a widely recognized credentialing framework based on European commission funded EDISON Data Science body of knowledge. This credential provides distinction as high potential certified Data Science Professionals enabling better career prospects.

Global Opportunities

IABAC certification provides global recognition of the relevant skills, thereby opening opportunities across the world.


IABAC Certification designed to cater to the job requirements of all experience levels and specializations, which suits roles aligned with the industry standards.

Relevant and updated

IABAC CPD (Continuing Professional Development) program enables credential holders to update their skills and stay relevant to the industry requirements.

Higher Salaries

On an average, a certified professional earns 30-40% more than their non-certified as per recent study by Forbes.

Summits & Webinars

In addition, IABAC members will have exclusive access to seminars and Data Science summits organised by IABAC partners across the globe.

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What is the Scope of Data Analytics?


Does IABAC provide training for the Certified Data Analyst Certification?

IABAC doesn’t provide training for Certified Data Analyst Certification but IABAC has a world-wide network of authorized training partners, who provide training aligned with the IABAC program syllabus.

Does Certified Data Analyst Certification require renewal?

Certified Data Analyst Certification is an advanced level certification and thereby, as per IABAC guidelines, this certification requires renewal every 3 years.

What is the process to re-take Certified Data Analyst Certification exam?

The Certified Data Analyst Certification exam retake process is the same as the regular booking. If you have booked through IABAC authorized partners then, your training institute can book the retake at significant discount.

How long does it take to get a Certified Data Analyst Certification after the exam completion?

The time taken for Certified Data Analyst Certification after the exam completion is usually 10 working days.

What is IABAC Certified Data Analyst Certification value in the global market?

IABAC is arguably the most respected certification and the world’s first Certified Data Analyst Certification board based on the European commission Edison framework.  The regions such as the USA, UK, Singapore, India and the Middle-east, IABAC is well recognised and many MNCs specifically mention IABAC requirements in their job descriptions.