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 4 months. No prior experience required.

Dr. Pooja
Joseph Santarcangelo
Rav Ahuja

Instructors: Dr. Pooja

232,520 already enrolled

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Earn a career credential that demonstrates your expertise
4.7

(17,981 reviews)

Beginner level

Recommended experience

4 months
Approx. 10 hours a week
Self-paced, no deadlines
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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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
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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 - 9 course series

Introduction to Data Analytics

Course 110 hours4.8 (14,968 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 (7,605 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 (3,510 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 Science
Category: Data Analysis
Category: Python Programming
Category: Numpy
Category: Pandas

Python for Data Science, AI & Development

Course 425 hours4.6 (35,862 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 Analysis
Category: Microsoft Excel
Category: IBM Cognos Analytics
Category: Dashboard
Category: Data Visualization

Python Project for Data Science

Course 58 hours4.5 (4,054 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: Python Programming
Category: Dashboards and Charts
Category: dash
Category: Data Visualization
Category: Matplotlib

Databases and SQL for Data Science with Python

Course 620 hours4.6 (19,595 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: Data Analysis
Category: Python Programming
Category: Dashboard
Category: Data Visualization
Category: SQL and RDBMS

Data Analysis with Python

Course 715 hours4.7 (17,898 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: Python Programming
Category: Cloud Databases
Category: Relational Database Management System (RDBMS)
Category: SQL
Category: Jupyter notebooks

Data Visualization with Python

Course 819 hours4.5 (11,597 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: Data Science
Category: Data Analysis
Category: Python Programming
Category: Pandas
Category: Jupyter notebooks

IBM Data Analyst Capstone Project

Course 918 hours4.6 (1,088 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

Skills you'll gain

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

Instructors

Dr. Pooja
IBM
4 Courses277,806 learners
Joseph Santarcangelo
IBM
28 Courses1,426,986 learners
Rav Ahuja
IBM
52 Courses2,528,280 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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Degree credit eligible

This Professional Certificate has ACE® recommendation. It is eligible for college credit at participating U.S. colleges and universities. Note: The decision to accept specific credit recommendations is up to each institution.

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