Certified Data Science Developer™

  In today’s data-driven world, where insights gleaned from data can drive innovation and business success, the role of a skilled data science developer is paramount. Embark on a transformative journey with our Certified Data Science Developer™ Certification program, meticulously designed to elevate your skills and position you as a leader in this pivotal field. This comprehensive program equips you with in-depth knowledge of data science principles, techniques, and their application across various domains. Through immersive, hands-on experiences, you’ll master the skills and tools essential for leveraging data to extract actionable insights and drive decision-making processes.   Join us and emerge as a Certified Data Science Developer™, ready to shape the future of data-driven decision-making. Be at the forefront of a world where data-driven insights and human ingenuity seamlessly integrate to create innovative solutions.


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Course duration

18 Hours



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Certification Validity


Modules Included

  • How to Install Python
  • History of Python
  • Python Variables
  • Loops in Python
  • Python collection Data Types
  • OOPS concepts
  • Exception Handling
  • Regular Expression
  • Python Numpy Arrays
  • Matrix and its operation
  • Functions in Python
  • User Defined functions in Python
  • Scope in Python
  • Introduction to Methods
  • Packages in Python and PIP
  • Pandas and Data frames
  • Import and Export data from CSV
  • Why Data Preprocessing
  • Missing Values Treatment
  • Encoding
  • Feature Scaling
  • Outlier Treatment
  • Template for Data Preprocessing
  • Introduction to Matplotlib and Seaborn
  • Various charts and syntax
  • Introduction to Machine Learning
  • Types of Machine Learning
  • Basic Probability required for Machine Learning
  • Linear Algebra required for Machine Learning
  • Simple Linear Regression
    • Simple Linear Regression Intuition
    • Simple Linear Regression – Business Problems
  • Multiple Linear Regression
    • Multiple Linear Regression Intuition
    • Multiple Linear Regression – Business Problems
  • Polynomial Regression
    • Polynomial Regression Intuition
    • Polynomial Regression Business problem
    • Implementation
  • Decision Tree
    • Decision Tree Intuition
    • Decision Tree Business problem
    • Implementation
  • Random Forest
    • Random Forest Intuition
    • Random Forest Business problem
    • Implementation
  • Logistic Regression
  • Decision Trees
  • Random Forests
  • SVM
  • Naïve Bayes
  • KNN
  • Confusion Matrix
  • Types of K-Means
  • K-Means Clustering
  • Hierarchal Clustering
  • Principal Component Analysis
  • Linear Discriminant Analysis
  • Need for recommendation engines
  • Types of Recommendation Engines
  • Content-Based
  • Collaborative Filtering
  • Apriori Algorithm
  • Market Basket Analysis
  • Understanding Time Series Data
  • ARIMA analysis
  • Statistics – Descriptive Statistics
  • Statistics – Inferential Statistics Fundamentals
  • Statistics – Hypothesis Testing
  • Summary of the key learning of the course.
  • There will be an online training followed by a multiple choice exam of 100 marks.
  • You need to acquire 60+ marks to clear the exam.
  • If you fail, you can retake the exam after one day.
  • You can take the exam no more than 3 times.
  • If you fail to acquire 60+ marks even after three attempts, then you need to contact us to get assistance for clearing the exam

Top Job Roles

A Certified Data Science Developer™ is a distinguished professional holding a certification that validates their exceptional expertise in data science. These experts possess deep knowledge and skills in utilizing advanced techniques to analyze data, develop predictive models, and derive valuable insights. They are the visionaries behind transformative data science solutions, leveraging their expertise to solve complex problems and drive business success in diverse industries.

The certification program is designed for individuals passionate about data science and its applications. Ideal candidates include data enthusiasts, software developers, data analysts, business analysts, and tech entrepreneurs. This certification enhances skills and knowledge in core data science concepts, preparing participants to innovate and excel in the field of data-driven decision-making.

Certified Data Science Developers™ are proficient in developing and applying data science techniques to extract insights from data. They work with cross-disciplinary teams to analyze data, develop predictive models, and derive actionable insights to solve real-world challenges. These experts explore innovative uses of data science, driving advancements and transforming industries with their solutions.

Certification Benefits

Frequently Asked Questions

A distinguished professional with certification in data science principles and applications.

The demand for Data Scientists is exceptionally high and continues to grow. As organizations increasingly rely on data-driven strategies, there’s a need for skilled professionals who can analyze data effectively to derive valuable insights and support decision-making processes.

Data enthusiasts, software developers, data analysts, business analysts, tech entrepreneurs, and anyone interested in leading in data-driven decision-making.

Yes, you can retake the certification exam. Check the certification authority’s policies for details on attempts and fees.

Refer to the official website for up-to-date pricing and payment options.

Recommended to be completed in 6 days with 1 hour daily commitment. The online exam can be taken anytime but is recommended within 10 days of program completion.

No specific prerequisites, making it accessible to professionals interested in gaining expertise in data science principles and applications.

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