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IBM Data Analyst Professional Certificate
Program
IBM Data Analyst Professional Certificate
Build job-ready skills and hands-on experience you need to get your first job as a data analyst in just 4 months. No prior experience required!
Flexible Schedule
Intermediate Level
Mentor Support
Estimated Time
4 months
Prepare to enter the rapidly growing world of data analytics with a program designed to equip you with essential, job-ready skills like Python, Excel, and SQL—all in just four months.
Data analytics involves gathering, storing, modeling, and analyzing data to support informed business decisions. With demand for qualified data analysts at an all-time high, there’s never been a better time to build your skills in this area.
This course focuses on the core competencies employers look for in entry-level data analytics professionals. It lays the groundwork not only for immediate employment but also for future growth in advanced fields such as data science, artificial intelligence, machine learning, and data engineering.
Throughout the program, you’ll gain hands-on experience using industry-standard tools and technologies including Excel, Python, Pandas, Numpy, Jupyter Notebooks, and Cognos Analytics. You'll work with diverse data sets and real-world scenarios to develop your ability to manipulate data and extract meaningful insights. You'll also have the opportunity to explore how generative AI is applied in modern data analysis workflows.
Overall, this program is a good starting point for anyone looking to kickstart their data analytics career. No prior experience required!
This Certificate Program comprises 9 purposely designed courses that take you on a carefully defined tangible learning path.
It is a self-paced program, which means it isn’t run to a fixed schedule with regard to completing courses or submitting assignments. To give you an idea of how long the program takes to complete, it is anticipated that if you work 4-6 hours per week, you will complete the program in 4 months. However, as long as the program is completed before the end date, you can work at your own pace. The materials for each course module will become available when you start the particular course.
You can choose to enroll for the complete Certificate Program in one go, or sign up for individual courses one at a time. Each course that you complete will take you a step closer to acquiring the Professional Certificate. And it’s worth noting that some courses may also qualify for other learning paths.
Overall, for students eager to broaden their career opportunities in data analytics, this program offers an excellent chance to demonstrate your data analysis and interpretation skills.
- By the end of this program, you will be able to:
- Use Python, Excel, and SQL for data analysis, ensuring a solid foundation in these essential programming and data management tools.
- Use essential libraries and tools such as Pandas, NumPy, and Jupyter Notebooks for data manipulation, statistical analysis, and interactive coding environments.
- Apply your data analytics skills practically through hands-on labs and course projects.
- Beginners with no prior experience in data analytics.
- Career switchers looking to move into a data-focused role.
- Students and recent graduates seeking in-demand job skills.
- Professionals aiming to upskill or reskill in data analysis.
- Individuals planning to advance into data science, AI, or related fields.
- Basic computer literacy
Program Outline
Kickstart your data analytics journey by building essential skills in the data analysis. Learn key tools and techniques that employers look for.
Topic Covered:
What is Data Analytics
The Data Analyst Role
The Data Ecosystem and Languages for Data Professionals
Understanding Data Repositories and Big Data Platforms
Gathering Data
Wrangling Data
Analyzing and Mining Data
Communicating Data Analysis Findings
Opportunities and Learning Paths
Course ID : course-v1:IBM+DA0100EN+v1
You can choose to enroll for this individual course. Click here to see course details.
Build essential skills in Excel that data analysts and data scientists use every day in just 5 weeks. No prior experience required.
Topic Covered:
Introduction to Data Analysis Using Spreadsheets
Getting Started with Using Excel Spreadsheets
Basics of Data Quality and Privacy
Cleaning Data
Data Analysis Basics, Filtering and Sorting Data
Using Pivot Tables
Course ID : course-v1:IBM+DA0130EN+v1
You can choose to enroll for this individual course. Click here to see course details.
Master in-demand data visualization skills that employers need using Excel and IBM Cognos Analytics. No coding experience required!
Topic Covered:
Creating Charts
Creating Advanced Charts
Creating Dashboards Using IBM Cognos Analytics
Course ID : course-v1:IBM+DV0130EN+v1
You can choose to enroll for this individual course. Click here to see course details.
This Python course provides a beginner-friendly introduction to Python for data science. Practice through lab exercises, and you'll be all set to create your first Python script!
Topic Covered:
Python Basics
Python Data Structures
Python Programming Fundamentals
Working with Data in Python
APIs and Data Collection
Course ID : course-v1:IBM+PY0104EN+v1
You can choose to enroll for this individual course. Click here to see course details.
Get hands-on practice applying your Python skills for data analysis in a project you can talk about in interviews.
Topic Covered:
Intro to Web Scraping
Final Project: Analyzing Stock Performance and Building a Dashboard
Course ID : course-v1:IBM+PY0220EN+v1
You can choose to enroll for this individual course. Click here to see course details.
Learn the power behind data manipulation for data sets stored in relational databases using SQL or structured query language a fundamental skill for anyone in the data sciences.
Topic Covered:
Getting Started with SQL
Introduction to Relational Databases and Tables
Intermediate SQL
Accessing Databases using Python
Assignment Preparation: Working with Real-World Data Sets and Built-in SQL Functions
Course ID : course-v1:IBM+DB0201EN+v1
You can choose to enroll for this individual course. Click here to see course details.
Get started with Python and build essential skills for data analysis in just 5 weeksno prior programming experience is required.
Topic Covered:
Importing Data sets
Data Wrangling
Exploratory Data Analysis
Model Development
Model Evaluation
Course ID : course-v1:IBM+DA0201EN+v1
You can choose to enroll for this individual course. Click here to see course details.
Get started with Python and build essential skills for data visualization in just 5 weeks. No prior programming experience required.
Topic Covered:
Introduction to Data Visualization Tools
Basic and Specialized Visualization Tools
Advanced Visualizations and Geospatial Data
Creating Dashboards with Plotly and Dash
Course ID : course-v1:IBM+DV0201EN+v1
You can choose to enroll for this individual course. Click here to see course details.
Showcase your data analytics skills and sharpen your resume with this real-world capstone project. Catch the eye of employers and get practical experience you can talk about in interviews.
Topic Covered:
Data Collection
Data Wrangling
Exploratory Data Analysis
Data Visualization
How to Present Your Findings
Course ID : course-v1:IBM+DA0321EN+v1
You can choose to enroll for this individual course. Click here to see course details.
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Personalized Mentoring & Support
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Practical Experience
Hands-on labs and projects tackling real-world challenges. Great for your resumé and LinkedIn profile.
Best-in-Class Course Content
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Job-Ready Skills Focus
Competency building and global certifications employers are actively looking for.
Type of certificate
IBM Professional Certificate
About this program
09Courses
45 Skills
Includes
Discussion Space
122 Hands-on labs
51 Practice quizzes
43 Graded quizzes
05 Final exams
08 Final projects
Create
Excel Skills: Spreadsheets, Pivot Tables, Charts, Basic Dashboards
Cognos Analytics: Dashboards, Visualizations, Report Creation
Data Visualization Tools: Google Looker Studio, Plotly, Geospatial Maps
Data Handling: Tables, Built-in Functions, Data Insertion & Queries
Data Analysis: Exploratory Data Analysis, Model Development
APIs & Web: REST APIs, HTTP Requests, Web Scraping
Reporting & Presentation: Dashboards, Reports, PowerPoint Slides
Exercises to explore
Excel, Functions, Data Cleaning & Formatting
Python, Pandas, File Handling, Web Scraping
SQL, Relational Databases, IBM Db2
Data Wrangling, EDA, Model Evaluation
Cognos, Looker Studio, Plotly, Dashboards & Reports
Watson Studio, Data Import & Access
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