How IBM’s Data Analyst Professional Certificate Enables Operations Managers, Engineers, & Analysts [VIDEO]

Written by Coursera Staff • Updated on

Calling all operations managers, engineers, and data analysts! Want to harness the power of data to transform your career?

[Video Thumbnail] IBM Data Analyst Professional Certificate

Calling all operations managers, engineers, and data analysts! Want to harness the power of data to transform your career? The IBM Data Analyst Professional Certificate on Coursera equips you with the in-demand skills to excel in today's data-driven world. Here's how this certificate can empower you:

  • Operations managers: Optimize efficiency and performance by analyzing operational data, querying databases, and building real-time dashboards with IBM Cognos Analytics.

  • Engineers: Deepen your understanding of data workflows, master data cleaning and structuring with Python and SQL, and create visualizations to enhance team collaboration.

  • Data analysts: Build a solid technical foundation in Python, Excel, and SQL, and showcase your insights with advanced dashboards in Cognos Analytics.

IBM

professional certificate

IBM Data Analyst

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.

4.7

(23,056 ratings)

396,315 already enrolled

Beginner level

Average time: 4 month(s)

Learn at your own pace

Skills you'll build:

Data Visualization Software, Pandas (Python Package), Big Data, Exploratory Data Analysis, Generative AI, Plotly, Dashboard, Professional Networking, Data Storytelling, Jupyter, Data Analysis, SQL, Predictive Modeling, Data Wrangling, Statistical Analysis, Data Visualization, Excel Formulas, Interactive Data Visualization, IBM Cognos Analytics, Matplotlib, Data Manipulation, Data Presentation, Histogram, Data Collection, Web Scraping, Scatter Plots, Box Plots, Data Cleansing, Data Lakes, Apache Spark, Extract, Transform, Load, Apache Hadoop, Data Warehousing, Apache Hive, Analytics, Data Mart, Interviewing Skills, LinkedIn, Talent Recruitment, Portfolio Management, Relationship Building, Professional Development, Recruitment, Presentations, Regression Analysis, Descriptive Statistics, Scikit Learn (Machine Learning Library), Data Pipelines, NumPy, Statistical Modeling, Supervised Learning, Feature Engineering, Data Import/Export, Data-Driven Decision-Making, Microsoft Excel, Data Quality, Pivot Tables And Charts, Google Sheets, Information Privacy, Spreadsheet Software, Tree Maps, Databases, Relational Databases, Database Design, Database Management, Query Languages, Stored Procedure, Transaction Processing, ChatGPT, OpenAI, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Python Programming, Prompt Engineering, Object Oriented Programming (OOP), Data Structures, File Management, Restful API, Programming Principles, Computer Programming, Application Programming Interface (API), Seaborn, Heat Maps, Geospatial Information and Technology, Data Science, Data Processing

Coursera Plus
Build job-ready skills with a Coursera Plus subscription
  • Get access to 10,000+ learning programs from world-class universities and companies, including Google, Yale, Salesforce, and more
  • Try different courses and find your best fit at no additional cost
  • Earn certificates for learning programs you complete
  • A subscription price of $59/month, cancel anytime

Updated on
Written by:

Editorial Team

Coursera’s editorial team is comprised of highly experienced professional editors, writers, and fact...

This content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

Save on Coursera for Teams. Get 50% off for a limited time.

Unlock 10,000+ expert-led courses today. Now $200 off.