Career Academy

Professional Diploma in Data Science


Get started in the high-growth field of data science with a professional certificate from IBM. Learn the foundations of data science and develop hands-on skills using the tools (spreadsheets, SQL), languages (Python), and libraries used by professional data scientists.


Common job titles: Data Scientist, Business Intelligence Analyst, Data Analyst, Data Architect, Data Engineer, Marketing Analyst, Operations Analyst, Quantitative Analyst


A Programme Offered by


Starts On
Duration 6 months 10h

About this Professional Diploma


Data science is one of the hottest professions of the decade, and the demand for data scientists who can analyze data and communicate results to inform data-driven decisions has never been greater. This Professional Certificate will help anyone interested in pursuing a career in data science or machine learning develop career-relevant skills.

It’s a myth that to become a data scientist you need a Ph.D. Anyone with a passion for learning can take this Professional Certificate – no prior knowledge of computer science or programming languages required – and develop the skills, tools, and portfolio to have a competitive edge in the job market as an entry-level data scientist.

The program consists of 9 online courses that will provide you with the latest job-ready tools and skills, including open source tools and libraries, Python, databases, SQL, data visualization, data analysis, statistical analysis, predictive modelling, and machine learning algorithms. You’ll learn data science through hands-on practice in the IBM Cloud using real data science tools and real-world data sets.

Upon completing these courses, you will have built a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in data science.

Programme Highlights

When you subscribed to this programme, you will get


167 Videos


45 Reading Articles


81 Quizzes


2 Assignments,    1 Project, 1 Exam

Programme Modules


Module 1: What is Data Science?

(Defining Data Science and What Data Scientists Do, Data Science Topics, Data Science in Business)


Module 2: Tools for Data Science

(Data Scientist's Toolkit, Open Source Tools, IBM Tools for Data Science, Final Assignment: Create and Share Your Jupyter Notebook)


Module 3: Data Science Methodology

(From Problem to Approach and From Requirements to Collection, From Understanding to Preparation and From Modeling to Evaluation, From Deployment to Feedback)


Module 4: Python for Data Science, AI & Development

(Python Basics, Python Data Structures, Python Programming Fundamentals, Working with Data in Python, APIs, and Data Collection)


Module 5: Python Project for Data Science

(Crowdsourcing Short squeeze Dashboard)


Module 6: Databases and SQL for Data Science with Python

(Getting Started with SQL, Introduction to Relational Databases and Tables, Intermediate SQL, Accessing Databases using Python, Course Assignment, Bonus Module: Advanced SQL for Data Engineering (Honors))


Module 7: Data Analysis with Python

(Importing Datasets, Data Wrangling, Exploratory Data Analysis, Model Development, Model Evaluation, Final Assignment)


Module 8: Data Visualization with Python

(Introduction to Data Visualization Tools, Basic and Specialized Visualization Tools, Advanced Visualizations and Geospatial Data, Creating Dashboards with Plotly and Dash, Final Project and Exam)


Module 9: Machine Learning with Python

(Introduction to Machine Learning, Regression, Classification, Clustering, Recommender Systems, Final Project)


Module 10: Applied Data Science Capstone

(Introduction, Exploratory Data Analysis (EDA), Interactive Visual Analytics and Dashboard, Predictive Analysis (Classification)

Why Enroll for Data Science?


  • Describe what is data science, the various activities of a data scientist’s job, and the methodology to think and work like a data scientist

  • Develop hands-on skills using the tools, languages, and libraries used by professional data scientists

  • Import and clean data sets, analyze and visualize data, and build and evaluate machine learning models and pipelines using Python

  • Apply various data science skills, techniques, and tools to complete a project using a real-world data set and publish a report for stakeholders
Why Enrol on the Programme (1)


median entry-level salary¹

¹Burning Glass Labor Insight Report data (median with 0-2 years experience), United States, 4/1/21-3/31/22.


in-demand job openings in data science¹



Upon successful completion of Data Science, participants will be awarded a verified

i) Professional Diploma in Data Science by Mantissa College Career Academy

ii) Digital certificate by IBM

Sample Certificate