Certified Data Analyst Certification (CDA – DA4020)

Data Analytics
  • Master Data Analysis: Reveal valuable data insights by mastering statistical modeling, visualization, and making informed decisions.
  • Validate Your Skills: Distinguish yourself with a certified data analyst credential. Excel in the art of data manipulation, mining, and interpretation to drive business growth.
  • Expand Career Opportunities: Broaden your horizons across diverse industries. Analyze intricate data sets, steer strategic planning, and propel your career to new heights.

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The demand for skilled data analytics experts is growing like never before. If you want to have amazing chances in this booming field, you should get a Data Analytics Certification. This highly desired certification shows that you are good at understanding complicated data, making smart decisions based on important information, and helping businesses achieve incredible success.

Think of a Data Analytics Certification as a badge that proves you know how to handle data, find patterns, and make business plans. It tells everyone that you're good at data mining (finding patterns in data) and business intelligence (using data to understand how a business is doing). Data Analytics is like being a detective for information hidden in numbers. When you have a Data Analyst Certification, you're like a pro in the business world, showing that you can collect, understand, and use data to make things better.

This certification isn't just something nice to have; it's a big deal. It says you're not only good at gathering and storing data but also at spotting trends, figuring out important stuff, and helping a business make moves.

Having data analyst certifications that are globally recognized can greatly enhance your chances of finding employment on an international level. These certifications go beyond local recognition and serve as a global seal of approval, instilling trust in employers and giving you a valuable advantage in your professional path.

The IABAC's data analyst certification is a great opportunity for people who are interested in working with data. In this businesses need people who can analyze data. This certification makes people stand out and become attractive to different industries. It helps people grow in their careers and gives them the tools they need to move up in a company. Certified Data Analysts are very important because they help companies make smart decisions based on data. They also have an advantage in the job market because they can spot trends and opportunities. Getting certified is a big step towards a successful career and it shows that you understand the power of data analysis.


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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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What is the Scope of Data Analytics?

The scope of data analytics is vast, involving business decision-making, predictive analytics, marketing insights, operational efficiency, big data analytics, healthcare, cybersecurity, and sports analytics. It addresses challenges like data privacy and security while utilizing keywords such as machine learning, predictive modeling, Hadoop, Spark, and genomics research. In essence, it's about extracting valuable insights from data for informed decision-making across diverse industries.

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 are the topics covered in a Data Analytics certification program?

Data analytics includes descriptive, diagnostic, predictive, and prescriptive analytics for understanding, forecasting, and optimizing outcomes. Text analytics extracts insights from unstructured text, while spatial analytics deals with location-based data, and streaming analytics processes real-time information. These methods collectively enable organizations to make informed decisions and gain a competitive edge in a data-driven landscape.

What are the types of Data Analytics?

Data analytics encompasses several types, including:

  • Descriptive Analytics: Summarizes historical data to understand past trends and performance.
  • Diagnostic Analytics: Examines data to determine why certain events occurred, often through root cause analysis.
  • Predictive Analytics: Utilizes statistical algorithms and machine learning techniques to forecast future outcomes based on historical data.
  • Prescriptive Analytics: Recommends actions to optimize future outcomes based on predictive insights.
  • Text Analytics: Extracts insights from unstructured text data, such as emails, social media posts, and customer reviews.
  • Spatial Analytics: Analyzes location-based data to derive insights related to geography and spatial relationships.
  • Streaming Analytics: Processes and analyzes real-time data streams to enable immediate decision-making.

What are the topics covered in a Data Analytics certification program?

Excelling in data analytics requires a combination of technical and soft skills. Technical skills include proficiency in programming languages (e.g., Python, R, SQL), statistical analysis, data visualization, and familiarity with data analysis tools and platforms. Soft skills such as critical thinking, problem-solving, communication, and business acumen are equally important for effectively interpreting data, communicating insights, and driving organizational impact.

How does data analytics contribute to business growth and innovation?

Data analytics plays a crucial role in driving business growth and innovation by enabling organizations to uncover valuable insights, understand customer behavior, optimize processes, and make data-driven decisions. By leveraging data effectively, businesses can enhance operational efficiency, identify new opportunities for revenue growth, personalize customer experiences, mitigate risks, and foster innovation in products, services, and strategies. Ultimately, data analytics empowers organizations to stay competitive, agile, and responsive in an increasingly data-driven landscape.



What is the salary of entry level data analyst in the US?

The salary of an entry-level Data Analyst in the US typically ranges from around $50,000 to $70,000 per year, depending on factors such as location, industry, and the specific company.

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.