IBM
IBM Data Analyst Professional Certificate
IBM

IBM Data Analyst Professional Certificate

Prepare for a career as a data analyst. Build job-ready skills – and must-have AI skills – for an in-demand career. Earn a credential from IBM. No prior experience required.

IBM Skills Network Team
Dr. Pooja
Abhishek Gagneja

Instructors: IBM Skills Network Team

321,677 already enrolled

Included with Coursera Plus

Earn a career credential that demonstrates your expertise
4.7

(20,676 reviews)

Beginner level

Recommended experience

Flexible schedule
4 months, 10 hours a week
Learn at your own pace
Build toward a degree
Earn a career credential that demonstrates your expertise
4.7

(20,676 reviews)

Beginner level

Recommended experience

Flexible schedule
4 months, 10 hours a week
Learn at your own pace
Build toward a degree

What you'll learn

  • Master the most up-to-date practical skills and tools that data analysts use in their daily roles

  • Learn how to visualize data and present findings using various charts in Excel spreadsheets and BI tools like IBM Cognos Analytics & Tableau

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

  • Gain technical experience through hands on labs and projects and build a portfolio to showcase your work

Skills you'll gain

Details to know

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Taught in English
Recently updated!

July 2024

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Advance your career with in-demand skills

  • Receive professional-level training from IBM
  • Demonstrate your technical proficiency
  • Earn an employer-recognized certificate from IBM
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$82,000+
median U.S. salary for Data Analytics
¹
90,000+
U.S. job openings in Data Analytics
¹

Get exclusive access to career resources upon completion

  • Soft skills training

    Get free access to IBM’s People and Soft Skills Specialization

  • Resume review

    Improve your resume and LinkedIn with personalized feedback

  • Interview prep

    Practice your skills with interactive tools and mock interviews

  • Career support

    Plan your career move with Coursera’s job search guide

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Professional Certificate - 11 course series

Introduction to Data Analytics

Course 110 hours4.8 (17,014 ratings)

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: Model Selection
Category: Data Analysis
Category: Python Programming
Category: Data Visualization
Category: Predictive Modelling

Excel Basics for Data Analysis

Course 211 hours4.8 (8,654 ratings)

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.

Skills you'll gain

Category: Data Science
Category: Spreadsheet
Category: Data Analysis
Category: Microsoft Excel
Category: Data Visualization

Data Visualization and Dashboards with Excel and Cognos

Course 315 hours4.7 (3,894 ratings)

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: Data Analysis
Category: Querying Databases
Category: Data Generation
Category: Generative AI
Category: Data Augmenting

Python for Data Science, AI & Development

Course 425 hours4.6 (38,938 ratings)

What you'll learn

  • Learn Python - the most popular programming language and for Data Science and Software Development.

  • Apply Python programming logic Variables, Data Structures, Branching, Loops, Functions, Objects & Classes.

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

  • Access and web scrape data using APIs and Python libraries like Beautiful Soup.

Skills you'll gain

Category: Data Science
Category: Data Analysis
Category: Python Programming
Category: Numpy
Category: Pandas

Python Project for Data Science

Course 58 hours4.5 (4,365 ratings)

What you'll learn

  • Play the role of a Data Scientist / Data Analyst working on a real project.

  • Demonstrate your Skills in Python - the language of choice for Data Science and Data Analysis.

  • Apply Python fundamentals, Python data structures, and working with data in Python.

  • Build a dashboard using Python and libraries like Pandas, Beautiful Soup and Plotly using Jupyter notebook.

Skills you'll gain

Category: Data Analysis
Category: Microsoft Excel
Category: IBM Cognos Analytics
Category: Dashboard
Category: Data Visualization

Databases and SQL for Data Science with Python

Course 620 hours4.7 (20,723 ratings)

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: Python Programming
Category: Dashboards and Charts
Category: dash
Category: Data Visualization
Category: Matplotlib

Data Analysis with Python

Course 715 hours4.7 (18,561 ratings)

What you'll learn

  • Develop Python code for cleaning and preparing data for analysis - including handling missing values, formatting, normalizing, and binning data

  • Perform exploratory data analysis and apply analytical techniques to real-word datasets using libraries such as Pandas, Numpy and Scipy

  • Manipulate data using dataframes, summarize data, understand data distribution, perform correlation and create data pipelines

  • Build and evaluate regression models using machine learning scikit-learn library and use them for prediction and decision making

Skills you'll gain

Category: Data Analysis
Category: Python Programming
Category: Dashboard
Category: Data Visualization
Category: SQL and RDBMS

Data Visualization with Python

Course 820 hours4.5 (11,857 ratings)

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: Python Programming
Category: Cloud Databases
Category: Relational Database Management System (RDBMS)
Category: SQL
Category: Jupyter notebooks

IBM Data Analyst Capstone Project

Course 918 hours4.6 (1,169 ratings)

What you'll learn

  • Apply different techniques to collect and wrangle data

  • Showcase your Data Analysis and Visualization skills

  • Create a data analysis report and a compelling presentation

  • Demonstrate proficiency with various Python Libraries

Generative AI: Enhance your Data Analytics Career

Course 1014 hours4.6 (71 ratings)

What you'll learn

  • Describe how you can use Generative AI tools and techniques in the context of data analytics across industries

  • Implement various data analytic processes such as data preparation, analysis, visualization and storytelling using Generative AI tools

  • Evaluate real-world case studies showcasing the successful application of Generative AI in deriving meaningful insights

  • Analyze the ethical considerations and challenges associated with using Generative AI in data analytics

Skills you'll gain

Category: Data Science
Category: Data Analysis
Category: Python Programming
Category: Pandas
Category: Jupyter notebooks

Data Analyst Career Guide and Interview Preparation

Course 1110 hours4.7 (505 ratings)

What you'll learn

  • Describe the role of a data analyst and some career path options as well as the prospective opportunities in the field.

  • Explain how to build a foundation for a job search, including researching job listings, writing a resume, and making a portfolio of work.

  • Summarize what a candidate can expect during a typical job interview cycle, different types of interviews, and how to prepare for interviews.

  • Explain how to give an effective interview, including techniques for answering questions and how to make a professional personal presentation.

Skills you'll gain

Category: Data Science
Category: Spreadsheet
Category: Data Analysis
Category: Microsoft Excel
Category: Pivot Table

Instructors

IBM Skills Network Team
IBM
58 Courses1,016,394 learners
Dr. Pooja
IBM
4 Courses309,140 learners
Abhishek Gagneja
IBM
5 Courses152,490 learners

Offered by

IBM

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

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Frequently asked questions

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