IBM

IBM Data Analyst Professional Certificate

IBM

IBM Data Analyst Professional Certificate

Unlock your potential in data analytics.

Build job-ready skills for an in-demand career as a data analyst. No degree or prior experience required.

IBM Skills Network Team
Dr. Pooja
Joseph Santarcangelo

Instructors: IBM Skills Network Team

Access provided by Berchmans Institute of Management Studies

522,340 already enrolled

Earn a career credential that demonstrates your expertise

from 98,473 reviews of courses in this program

Beginner level

Recommended experience

4 months to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Earn a career credential that demonstrates your expertise

from 98,473 reviews of courses in this program

Beginner level

Recommended experience

4 months to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Demonstrate proficiency in using spreadsheets and utilizing Excel to perform a variety of data analysis tasks like data wrangling and data mining

  • Create various charts and plots in Excel & work with IBM Cognos Analytics to build dashboards. Visualize data using Python libraries like Matplotlib

  • Develop working knowledge of Python language for analyzing data using Python libraries like Pandas and Numpy, and invoke APIs and Web Services

  • Describe data ecosystem and Compose queries to access data in cloud databases using SQL and Python from Jupyter notebooks

Details to know

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Taught in English

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Prepare for a career in Data Analytics

  • Receive professional-level training from IBM
  • Demonstrate your proficiency in portfolio-ready projects
  • Earn an employer-recognized certificate from IBM
  • Qualify for in-demand job titles: Data Analyst, Associate Data Analyst, Business Analyst
$82,000+
median U.S. salary for Data Analytics
¹
90,000+
U.S. job openings in Data Analytics
¹

Professional Certificate - 8 course series

Introduction to Data Analytics

Introduction to Data Analytics

Course 1, 11 hours

What you'll learn

  • Explain what Data Analytics is and the key steps in the Data Analytics process

  • Differentiate between different data roles such as Data Engineer, Data Analyst, Data Scientist, Business Analyst, and Business Intelligence Analyst

  • Describe the different types of data structures, file formats, and sources of data

  • Describe the data analysis process involving collecting, wrangling, mining, and visualizing data

Skills you'll gain

Category: Data Wrangling
Category: Data Cleansing
Category: Data Collection
Category: Big Data
Category: Statistical Analysis
Category: Data Warehousing
Category: Data Presentation
Category: Apache Spark
Category: Data Analysis
Category: Data Lakes
Category: Data Storytelling
Category: Data Mart
Category: Data Visualization
Category: Apache Hadoop
Category: Data Science
Category: Analytics
Category: Apache Hive
Category: Microsoft Excel
Excel Basics for Data Analysis

Excel Basics for Data Analysis

Course 2, 13 hours

What you'll learn

  • Display working knowledge of Excel for Data Analysis.

  • Perform basic spreadsheet tasks including navigation, data entry, and using formulas.

  • Employ data quality techniques to import and clean data in Excel.

  • Analyze data in spreadsheets by using filter, sort, look-up functions, as well as pivot tables.

Data Visualization and Dashboards with Excel and Cognos

Data Visualization and Dashboards with Excel and Cognos

Course 3, 16 hours

What you'll learn

  • Create basic visualizations such as line graphs, bar graphs, and pie charts using Excel spreadsheets.

  • Explain the important role charts play in telling a data-driven story. 

  • Construct advanced charts and visualizations such as Treemaps, Sparklines, Histogram, Scatter Plots, and Filled Map Charts.

  • Build and share interactive dashboards using Excel and Cognos Analytics.

Skills you'll gain

Category: Microsoft Excel
Category: IBM Cognos Analytics
Category: Pivot Tables And Charts
Category: Tree Maps
Category: Histogram
Category: Dashboard
Category: Data Storytelling
Category: Data Visualization Software
Category: Interactive Data Visualization
Category: Data Analysis
Category: Scatter Plots
Category: Business Intelligence
Category: Data Visualization
Category: Spreadsheet Software
Python for Data Science, AI & Development

Python for Data Science, AI & Development

Course 4, 24 hours

What you'll learn

  • Develop a foundational understanding of Python programming by learning basic syntax, data types, expressions, variables, and string operations.

  • Apply Python programming logic using data structures, conditions and branching, loops, functions, exception handling, objects, and classes.

  • Demonstrate proficiency in using Python libraries such as Pandas and Numpy and developing code using Jupyter Notebooks.

  • Access and extract web-based data by working with REST APIs using requests and performing web scraping with BeautifulSoup.

Skills you'll gain

Category: Python Programming
Category: Pandas (Python Package)
Category: Web Scraping
Category: Data Structures
Category: File I/O
Category: NumPy
Category: Application Programming Interface (API)
Category: JSON
Category: Object Oriented Programming (OOP)
Category: Jupyter
Category: Computer Programming
Category: Data Analysis
Category: Data Manipulation
Category: Automation
Category: Data Import/Export
Category: Programming Principles
Category: Restful API
Databases and SQL for Data Science with Python

Databases and SQL for Data Science with Python

Course 5, 18 hours

What you'll learn

  • Analyze data within a database using SQL and Python.

  • Create a relational database and work with multiple tables using DDL commands.

  • Construct basic to intermediate level SQL queries using DML commands.

  • Compose more powerful queries with advanced SQL techniques like views, transactions, stored procedures, and joins.

Skills you'll gain

Category: SQL
Category: Pandas (Python Package)
Category: Databases
Category: Relational Databases
Category: Data Manipulation
Category: Jupyter
Category: Data Analysis
Category: Transaction Processing
Category: Python Programming
Category: Stored Procedure
Category: Query Languages
Data Analysis with Python

Data Analysis with Python

Course 6, 17 hours

What you'll learn

  • Construct Python programs to clean and prepare data for analysis by addressing missing values, formatting inconsistencies, normalization, and binning

  • Analyze real-world datasets through exploratory data analysis (EDA) using libraries such as Pandas, NumPy, and SciPy to uncover patterns and insights

  • Apply data operation techniques using dataframes to organize, summarize, and interpret data distributions, correlation analysis, and data pipelines

  • Develop and evaluate regression models using Scikit-learn, and use these models to generate predictions and support data-driven decision-making

Skills you'll gain

Category: Regression Analysis
Category: Model Evaluation
Category: Pandas (Python Package)
Category: Scikit Learn (Machine Learning Library)
Category: NumPy
Category: Data Analysis
Category: Data Manipulation
Category: Data Preprocessing
Category: Exploratory Data Analysis
Category: Data Import/Export
Category: Data Cleansing
Category: Predictive Modeling
Category: Python Programming
Category: Data Visualization
Category: Statistical Analysis
Category: Feature Engineering
Category: Predictive Analytics
Category: Data Transformation
Category: Matplotlib
Data Visualization with Python

Data Visualization with Python

Course 7, 20 hours

What you'll learn

  • Implement data visualization techniques and plots using Python libraries, such as Matplotlib, Seaborn, and Folium to tell a stimulating story

  • Create different types of charts and plots such as line, area, histograms, bar, pie, box, scatter, and bubble

  • Create advanced visualizations such as waffle charts, word clouds, regression plots, maps with markers, & choropleth maps

  • Generate interactive dashboards containing scatter, line, bar, bubble, pie, and sunburst charts using the Dash framework and Plotly library

Skills you'll gain

Category: Matplotlib
Category: Interactive Data Visualization
Category: Plotly
Category: Dashboard
Category: Seaborn
Category: Scatter Plots
Category: Histogram
Category: Jupyter
Category: Geospatial Mapping
Category: Data Analysis
Category: Data Storytelling
Category: Python Programming
Category: Integrated Development Environments
Category: Data Visualization
Category: Data Visualization Software
Category: Geospatial Information and Technology
IBM Data Analyst Capstone Project

IBM Data Analyst Capstone Project

Course 8, 26 hours

What you'll learn

  • Apply techniques to gather and wrangle data from multiple sources.

  • Analyze data to identify patterns, trends, and insights through exploratory techniques.

  • Create visual representations of data using Python libraries to communicate findings effectively.

  • Construct interactive dashboards with BI tools to present and explore data dynamically.

Skills you'll gain

Category: Data Analysis
Category: Scatter Plots
Category: IBM Cognos Analytics
Category: Data Manipulation
Category: Data Cleansing
Category: Data Wrangling
Category: Web Scraping
Category: Data Collection
Category: Dashboard
Category: Exploratory Data Analysis
Category: Statistical Analysis
Category: Matplotlib
Category: Pandas (Python Package)
Category: Data Visualization
Category: Data Storytelling
Category: Data Presentation
Category: Interactive Data Visualization

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Build toward a degree

When you complete this Professional Certificate, you may be able to have your learning recognized for credit if you are admitted and enroll in one of the following online degree programs.¹

Instructors

IBM Skills Network Team
91 Courses1,876,020 learners
Dr. Pooja
IBM
4 Courses390,367 learners
Joseph Santarcangelo
IBM
37 Courses2,420,936 learners

Offered by

IBM

Why people choose Coursera for their career

¹Lightcast™ Job Postings Report, United States, 7/1/22-6/30/23. ²Based on program graduate survey responses, United States 2021.