Data Science & AI Certificate Online (Self-Paced)
IDCMIV

Self-paced online training with expert support Certificate with 7 courses

Master Python, SQL, and machine learning techniques as you build real-world data science projects. You’ll analyze data, create visualizations, and develop predictive models through hands-on exercises, all at your own pace.

$3,995 114 clock hours Live Support Start anytime

This program includes

  • 114 hours of project-based training from experts
  • Additional elective course
  • Answers from real instructors
  • Access to class recordings (30 days)
  • Verified digital certificate of completion
  • Learn at an accredited institution

Special Promotion: Receive the Python for AI: Create AI Apps with Flask & OpenAI course when you register for this certificate program. Contact us after enrolling to be added to the class.

Gain the skills to work with databases and perform data analysis in this beginner-friendly program, designed to prepare you for entry-level data science and Python engineering roles. Data science careers consistently rank among the best and highest-paying jobs today.

  • Learn Programming Fundamentals: Master Python programming basics and its core data science libraries for analyzing data. Read and write complex database queries, prepare and clean datasets, and use Python to automate routine tasks such as aggregating, updating, and formatting data.
  • Create Machine Learning Models: Leverage your data to build and evaluate machine learning models. Clean and balance datasets with Pandas, apply machine learning algorithms using the scikit-learn library to address real-world problems, and analyze results to identify areas for improvement.
  • Make Dashboards & Visualizations: Design and present dynamic dashboards and other visualizations. Learn to work with Python’s major plotting and dashboard tools—Matplotlib, Seaborn, Plotly, and Dash Enterprise—and deploy projects on GitHub to showcase your analytical skills to employers.
  • Industry-Aligned Projects & Mentorship: Work on real-world projects aligned with industry needs, and receive 1-on-1 mentoring to refine your abilities, get feedback, and prepare for interviews. This hands-on approach ensures you’re ready to step into a data science career.
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Add additional skills in AI for Python or data analytics:

Courses in this Certificate Program

This is the recommended order, but some courses may be taken in a different order.

Download Syllabus PDF

Unit 1 18 Hours

SQL Course Online (Self-Paced)

Learn how to extract, filter, and manipulate data using SQL. This course covers PostgreSQL fundamentals, database querying, table joins, and advanced techniques for handling large datasets.

  • Write SQL queries to retrieve, filter, and sort data efficiently.
  • Use joins to combine information from multiple tables and establish relationships.
  • Apply aggregate functions like SUM, COUNT, AVG, and GROUP BY to summarize data.
  • Work with subqueries, conditional logic (CASE statements), and advanced string functions.
  • Optimize queries using indexes, data type conversions, and best practices.
  • Explore views and user-defined functions to streamline database management.

Unit 2 30 Hours

Python for Data Science Course Online (Self-Paced)
  • Handle different types of data such as integers, floats, and strings
  • Control the flow of your programs with conditional statements, loops, and functions
  • Reuse and simplify code with object-oriented programming
  • Analyze tabular data with NumPy and Pandas
  • Create graphs and visualizations with Matplotlib
  • Make predictions with linear regression, using scikit-learn

Unit 3 30 Hours

Python Machine Learning Course Online (Self-Paced)
  • How to clean and balance your data using the Pandas library
  • Applying machine learning algorithms such as logistic regression and random forest using the scikit-learn library
  • Choosing good features to use as input for your algorithms
  • Properly splitting data into training, test and cross-validation sets
  • Important theoretical concepts like overfitting, variance and bias
  • Evaluating the performance of your machine learning models

Unit 4 6 Hours

Python for Automation Course Online (Self-Paced)
  • Scrape (extract) text and images from websites
  • Schedule Python scripts to run automatically
  • Automate browser interactions, reporting, and messaging

Unit 5 24 Hours

Python Data Visualization & Interactive Dashboards Online (Self-Paced)
  • Plan & present a data story
  • Gather and manipulate data from different sources
  • Find data stories through exploratory data analysis 
  • Manipulate data with NumPy and Pandas.
  • Use advanced Python visualization libraries Plotly and Dash
  • Build a dashboard
  • Apply the rules of effective dashboard design to create professional data science solutions
  • Go live with your project & deploy the dashboard on a live server

Unit 6

Data Science Capstone Projects (Self-Paced)

Throughout this program, you will complete three capstone projects to showcase in your portfolio: 

Machine Learning & AI Capstone

  • Choose, clean, and engineer features from a structured dataset to train machine learning models (e.g., logistic regression, random forest), evaluate performance, and visualize results clearly.
  • Deliver a professional presentation detailing your data processing workflow, modeling techniques, and insights discovered using Python libraries like pandas, scikit-learn, and Matplotlib.

Python for AI Capstone (Choose One of Two)

  • AI Chat Assistant: Build an interactive chat assistant embedded on a webpage, using Flask and JavaScript to integrate with OpenAI’s API for context-aware user interactions.
  • Collectibles Identification App: Develop a Flask-based web app allowing image uploads of collectible items, leveraging OpenAI to identify items, generate descriptive metadata, and dynamically display logged session history.

Python Data Visualization Capstone

  • Clean, analyze, and visualize global CO₂ emissions alongside GDP and population data, highlighting trends and correlations through insightful visualizations with Matplotlib, seaborn, and plotly.
  • Build a responsive Dash dashboard enabling interactive exploration of emissions data, clearly communicating insights such as regional trends, GDP-emission correlations, and emission anomalies.

You will work on your capstone projects both in and outside of class, using scheduled mentoring sessions to review your progress, ask questions, and get personalized feedback from your instructor.

Attend the Python for AI course for free as part of this certificate. Choose your date after you register for the program. 

Bonus 30 Hours

Python for AI Course Online (Self-Paced)

Learn how to build AI-powered web applications using Flask and the OpenAI API. This course covers web development fundamentals, API integration, and AI-driven features for interactive applications.

  • Set up Flask projects and create routes for handling web requests and rendering templates.
  • Design and style web applications using HTML, CSS, and Flask’s templating system.
  • Integrate the OpenAI API to implement AI-powered features like sentiment analysis.
  • Handle user input with dynamic forms and process data for real-time interactions.
  • Implement error handling and debugging techniques to ensure smooth application performance.
  • Deploy and test Flask applications for real-world use and AI-enhanced functionality.
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