IBM Data Analyst Certificate

Gain the job-ready skills to begin an IBM career as an associate or junior data analyst with this certificate, presented by Alvernia University. No prior programming or statistical skills required to enroll.

Kickstart your data analyst career by learning the core principles of data analysis and gaining hands-on practice. Upon successful completion of this program, you will have analyzed real-world datasets, created interactive dashboards and presented reports to share your findings…valuable proficiency for IBM entry-level jobs.

Data Analysis Tasks

Become proficient in using spreadsheets such as Excel to perform data analysis tasks such as data wrangling and data mining


Develop a working knowledge of Python programming language for analyzing data using libraries such as Pandas and Numpy

Dashboards & Ecosystems

Create charts and plots, and work with Matplotlib, cloud databases, and Python from Jupyter notebooks

Professional Certificate Programs enable you to become empowered and successful in every phase of your job!

Dana Baker

Dana Baker, Executive Director of Regional Campuses

"We are committed to developing current and relevant coursework to help transform our next generation of leaders."

IBM Data Analyst

100% Online

Learn on your own schedule

Flexible Schedule

Set and maintain flexible deadlines

Entry Level

No previous experience required

6-Months to Complete

Suggested pace of 10 hours/week; 6 Courses

IBM Data Analyst Certificate Courses

Python for Data Science, AI and Development

Kickstart your learning of Python for data science, as well as programming in general, with this beginner-friendly introduction to Python. Python is one of the world’s most popular programming languages and there has never been greater demand for professionals who can apply Python fundamentals to drive business solutions across industries.

By the end of this course, you will:

  • Create basic programs, working with data and solving real-world problems in Python.
  • Gain a strong foundation for more advanced learning in the field.
  • Develop skills to help advance your career.

Python Project for Data Science

In this course, you will demonstrate foundational Python skills for working with data. The completion of this course involves working on a hands-on project to develop a simple dashboard using Python. This course is not intended to teach you Python. It is intended for you to apply prior Python knowledge.

Databases and SQL for Data Science with Python

Much of the world’s data resides in databases. SQL (Structured Query Language) is a powerful language used for communicating with and extracting data from databases. A working knowledge of databases and SQL is a must if you want to become a data scientist.

This course introduces relational database concepts and helps you learn and apply foundational knowledge of the SQL language. It is also intended to get you started with performing SQL access in a data science environment.

By the end of this course, you will:

  • Work with real databases, real data science tools and real-world datasets.
  • Create a database instance in the cloud.
  • Practice building and running SQL queries, through a series of hands-on labs.
  • Learn to access databases from Jupyter notebooks using SQL and Python.

Data Analysis with Python

Learn how to analyze data using Python. This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analysis, create meaningful data visualizations and predict future trends from data.

By the end of this course, you will be able to:

  • Import datasets.
  • Clean the Data.
  • Manipulate a data frame.
  • Summarize the Data.
  • Build machine learning regression models.
  • Build data pipelines.
  • Use Pandas, Numpy and Scipy libraries to work with a sample dataset.

Data Visualization with Python

Data visualization plays an essential role in the representation of both small and large-scale data. Data scientists must tell a compelling story, visualizing data and findings in an approachable and stimulating way. Learning how to leverage a software tool to visualize data will also enable you to extract information, better understand the data, and make more effective decisions

By the end of this course, you will be able to:

  • Take data that at first glance has little meaning and present that data in a form that makes sense.
  • Use several data visualization libraries in Python (Matplotlib, Seaborn and Folium).

IBM Data Analyst Capstone Project

In this course you will assume the role of an associate data analyst who has recently joined the organization and be presented with a business challenge that requires data analysis to be performed on real-world datasets.

You will:

  • Collect data from multiple sources.
  • Perform exploratory data analysis.
  • Perform data wrangling and preparation.
  • Do statistical analysis and mine the data,
  • Create charts and plots to visualize data.
  • Build an interactive dashboard.

You will present a data analysis report, with an executive summary for the various stakeholders in the organization. You will be assessed on both your work for the various stages in the data analysis process, as well as the final deliverable project. This is a great opportunity to showcase your data analytics skills and demonstrate your proficiency to potential employers.

Skills you will gain: