What you will learn in IBM Data Analyst Professional Certificate Course
- Gain hands-on experience with Excel, SQL, Python, and IBM Cognos Analytics.
- Learn data wrangling, cleaning, and manipulation techniques.
- Master data visualization using Matplotlib, Seaborn, and Power BI.
- Understand statistical analysis and how to derive business insights from data.
- Write SQL queries to extract and analyze data from databases.
- Work on real-world datasets to develop job-ready analytical skills.
- Complete a capstone project to showcase your data analytics expertise.
Program Overview
Foundations of Data Analytics
⏱️ 4-6 weeks
- Understand the role of a data analyst in different industries.
- Learn about data types, structures, and sources.
- Get introduced to tools like Excel, SQL, and Python.
Data Cleaning and Preparation
⏱️ 6-8 weeks
- Learn data wrangling techniques for structured and unstructured data.
- Use Excel and Python for data cleaning and preprocessing.
- Apply best practices for ensuring data accuracy and consistency.
Data Analysis with SQL and Python
⏱️8-12 weeks
- Write SQL queries to retrieve and manipulate data.
- Use Pandas and NumPy for data analysis in Python.
- Perform statistical analysis and uncover insights from datasets.
Data Visualization and Business Intelligence
⏱️10-12 weeks
- Create interactive dashboards using Power BI and IBM Cognos Analytics.
- Visualize data using Matplotlib and Seaborn in Python.
- Develop compelling data narratives to communicate insights.
IBM Data Analyst Capstone Project
⏱️ 12-15 weeks
- Work on a real-world business case using IBM’s analytics tools.
- Analyze and visualize data to solve a business problem.
- Present your findings through reports and dashboards.
- Earn the IBM Data Analyst Professional Certificate upon completion.
Get certificate
Job Outlook
- Growing demand: The data analytics job market is expected to grow by 25% by 2030 (U.S. Bureau of Labor Statistics).
- High earning potential: Entry-level data analysts earn $60,000 – $85,000, while experienced professionals make $90,000+ per year.
- Diverse career opportunities: Data analytics skills are highly valued in finance, healthcare, technology, retail, and marketing.
- In-demand technical skills: Employers seek expertise in SQL, Python, Excel, and data visualization.
- Industry recognition: IBM-backed certification enhances credibility on LinkedIn and job platforms.
- Career pathways: This certification opens doors to roles such as Data Analyst, Business Intelligence Analyst, and Marketing Analyst.
Specification: IBM Data Analyst Professional Certificate
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FAQs
- A job-ready, entry-level certificate program developed by IBM and hosted on Coursera, consisting of 9 courses that build your skills in data collection, analysis, visualization, and storytelling.
- You’ll learn popular tools and techniques including Excel, Python (Pandas & NumPy), SQL, Jupyter Notebooks, IBM Cognos Analytics, and even elements of generative AI
- The program is ACE® and FIBAA-recommended, enabling learners to earn up to 12 U.S. college credits and 6 ECTS—enhancing its academic credibility.
You’ll learn to use:
- Excel for data cleaning, pivot tables, and dashboards (Excel & Cognos)
- Python (with Pandas, NumPy, Matplotlib) for scripting and analysis
- SQL within Jupyter environments for querying relational databases
- Data visualization tools, including Cognos and Python libraries
- The capstone project integrates these skills—guiding you through a real-world analysis from data wrangling to interactive dashboard presentation.
- The certificate carries professional credibility from IBM, and comes with resources like career support and portfolio-building tools.
- One learner on Medium chose this over Google’s certificate for its stronger technical focus—especially Python, Excel, and a less “surface-level” approach.
- However, as Reddit discussions suggest, certificates alone aren’t enough—real skill demonstration via projects and portfolio matters most.
