In an increasingly data-centric world, the ability to derive meaningful insights from raw data is essential. The IBM Data Analyst Capstone Project gives you the opportunity to apply the skills and techniques learned throughout the IBM Data Analyst Professional Certificate. Working with actual datasets, you will carry out tasks commonly performed by professional data analysts, such as data collection from multiple sources, data wrangling, exploratory analysis, statistical analysis, data visualization, and creating interactive dashboards. Your final deliverable will include a comprehensive data analysis report, complete with an executive summary, detailed insights, and a conclusion for organizational stakeholders.
Throughout the project, you will demonstrate your proficiency in tools such as Jupyter Notebooks, SQL, Relational Databases (RDBMS), and Business Intelligence (BI) tools like IBM Cognos Analytics. You will also apply Python libraries, including Pandas, Numpy, Scikit-learn, Scipy, Matplotlib, and Seaborn.
We recommend completing the previous courses in the Professional Certificate before starting this capstone project, as it integrates all key concepts and techniques into a single, real-world scenario.
In this module, you’ll apply key data collection and analysis techniques using APIs and web scraping. You’ll start by exploring HTTP requests and using APIs to retrieve and paginate job postings across different technologies. Then, you’ll work with a JSON endpoint to collect job data through API re…
In this module, you will perform essential data-wrangling techniques necessary for cleaning and preparing datasets for analysis. Throughout the module, you will engage in hands-on activities to identify and handle common data issues, including duplicate entries and missing values. You will strategi…
In this module, you will engage in essential exploratory data analysis (EDA) techniques to uncover meaningful insights from your data set. You will start by identifying the distribution of the data through plotting distribution curves and histograms, which are crucial for understanding how values a…
In this lab, you will perform essential data visualization techniques to extract meaningful insights from the Stack Overflow survey data set. You will start by visualizing the distribution of data using histograms and box plots to understand the spread of compensation and age. Next, you will explor…
In this module, you will create dashboards using Stack Overflow survey data using either IBM Cognos Analytics or Google Looker Studio. The assignment is divided into Part A: Building a Dashboard with IBM Cognos Analytics and Part B: Building a Dashboard with Google Looker Studio. You will design a…
In the final module, you will focus on presenting your data findings effectively. You will begin by exploring key elements contributing to a successful data findings report, including structuring your report, using best practices for data visualization, and presenting complex information in an enga…
Some points apply to every course of this kind; see how we rank.
IBM is in Tier 2: excellent universities and the companies that build the technology of our institution ranking (84/100).
This is CS50P, CS50's Introduction to Programming with Python. Register for free at https://cs50.edx.org/python. Slides and source code at https://cs50.harvard.edu/python. Playlist at https://www.youtube.com/playlist?list=PLhQjrBD2T3817j24-GogXmWqO5Q5vYy0V. An introduction to programming using a la…
Instructor: Ana Bell View the complete course: https://ocw.mit.edu/courses/6-100l-introduction-to-cs-and-programming-using-python-fall-2022/ *Note: Lectures 6, 10 have been updated! This subject is aimed at students with little to no programming experience. It aims to provide students with an under…
This is CS50W, CS50's Web Programming with Python and JavaScript. Register for free at https://cs50.edx.org/web. Slides and source code at https://cs50.harvard.edu/web. This course picks up where Harvard University’s CS50 leaves off, diving more deeply into the design and implementation of web apps…
This course explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like game-playing engines, handwriting recognition, and machine translation. Through hands-on projects, students gain exposure to the theory beh…
This course explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like game-playing engines, handwriting recognition, and machine translation. Through hands-on projects, students gain exposure to the theory beh…
An introduction to cybersecurity for technical and non-technical audiences alike. Learn how to secure your accounts, data, systems, and software against today’s threats and how to recognize and evaluate tomorrow’s as well, both at home and at work. Learn how to preserve your own privacy. Learn to v…
