What You Will Learn
- Clean, transform, and analyze structured and unstructured data
- Write SQL queries to extract and manage data from databases
- Use Python (Pandas, NumPy) for large-scale data analysis
- Apply statistical methods and hypothesis testing
- Build dashboards and data visualizations for business insights
- Develop predictive models using machine learning techniques
Program Overview
The Professional Certificate in Data Science & Data Analysis (DSA) is designed to transform participants into job-ready data professionals by mastering the complete data lifecycle from raw data collection to executive-level storytelling and predictive insights.
This program combines technical depth with real-world application, equipping students with hands-on experience in Excel, SQL, Python, and Power BI to solve complex business problems. Participants will learn to clean and structure messy datasets, apply statistical thinking, and build predictive models that move beyond “what happened” to “what will happen.”
By the end of the program, students will develop a professional portfolio and capstone project, demonstrating their ability to extract actionable insights from real-world data.
Who Should Enroll
l Aspiring Data Analysts and Data Scientists
l Business professionals seeking data-driven decision-making skills
l Graduates looking to transition into tech and analytics rolesProgram Overview
The Professional Certificate in Data Science & Data Analysis (DSA) is designed to transform participants into job-ready data professionals by mastering the complete data lifecycle from raw data collection to executive-level storytelling and predictive insights.
This program combines technical depth with real-world application, equipping students with hands-on experience in Excel, SQL, Python, and Power BI to solve complex business problems. Participants will learn to clean and structure messy datasets, apply statistical thinking, and build predictive models that move beyond “what happened” to “what will happen.”
By the end of the program, students will develop a professional portfolio and capstone project, demonstrating their ability to extract actionable insights from real-world data.
Who Should Enroll
- Aspiring Data Analysts and Data Scientists
- Business professionals seeking data-driven decision-making skills
- Graduates looking to transition into tech and analytics roles
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Course Modules
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Title
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Focus
|
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DSA 101 |
Foundations of Data Science & Excel Mastery |
Data cleaning, dashboards, and Excel analytics |
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DSA 102 |
SQL for Data Architecture & Querying |
Data extraction, joins, aggregation, and database design |
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DSA 103 |
Python for Data Analysis (NumPy & Pandas) |
Data manipulation, automation, and large dataset handling |
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DSA 104
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Applied Statistics & Exploratory Data Analysis |
Hypothesis testing, EDA, and statistical insights |
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DSA 105 |
Data Visualization & Business Intelligence |
Dashboards, storytelling, and decision-making |
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DSA 106 |
Machine Learning & Predictive Modeling |
Regression, classification, and forecasting |
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DSA 107 |
Capstone: End-to-End Data Pipeline |
Full data workflow from ETL to presentation
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Capstone project
The program concludes with an End-to-End Data Pipeline Project, where students will:
- Work with real-world datasets (Finance, Healthcare, or Retail)
- Perform ETL (Extract, Transform, Load) processes
- Conduct Exploratory Data Analysis (EDA)
- Build and evaluate a predictive model
- Present insights through dashboards and a technical presentation
Program Benefits
- Hands-on, practical training with real-world datasets
- Mastery of in-demand tools used in top organizations
- Build a portfolio-ready project for job applications
- Develop strong analytical and problem-solving skills
- Prepare for roles in data analytics and data science