IBM
IBM Data Analyst Professional Certificate
IBM

IBM Data Analyst Professional Certificate

Prepare for a career as a data analyst. Gain the in-demand skills and hands-on experience to get job-ready in as little as 5 months. No prior experience required.

IBM Skills Network Team
Dr. Pooja
Abhishek Gagneja

Instructors: IBM Skills Network Team

4,041 already enrolled

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Earn a career credential that demonstrates your expertise
4.7

(18,378 reviews)

Beginner level

Recommended experience

Flexible schedule
5 months, 10 hours a week
Learn at your own pace
Earn degree credit

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

Details to know

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Add to your LinkedIn profile

Taught in English
Recently updated!

July 2024

See how employees at top companies are mastering in-demand skills

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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

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

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Professional Certificate - 11 course series

Introduction to Data Analytics

Course 110 hours4.8 (15,258 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 212 hours4.8 (7,745 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 (3,556 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 (36,227 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 (4,102 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 hours4.6 (19,755 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 (18,012 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 (11,646 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 (1,108 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 (20 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 hours4.6 (310 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 Courses827,363 learners
Dr. Pooja
IBM
4 Courses283,834 learners
Abhishek Gagneja
IBM
5 Courses118,906 learners

Offered by

IBM

Get a head start on your degree

When you complete this Professional Certificate, you can earn college credit if you are admitted and enroll in one of the following online degree programs.¹

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