Coursera – IBM Data Analyst Professional Certificate

Free Download Coursera – IBM Data Analyst Professional Certificate
Last updated 4/2023
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 192 Lessons (15h 42m) | Size: 1.85 GB

Unlock your potential in data analytics. Build job-ready skills for an in-demand career as a data analyst. No degree or prior experience required.
Get started in the in-demand field of data analytics with a Professional Certificate from IBM. Learn the core principles of data analysis and gain experience with data manipulation using Python and Excel, applying analytical techniques, and working with a variety of data sources.
Free Download Common job titles: Data Analyst, Associate Data Analyst, Junior Data Analyst, Finance Analyst, Operations Analyst, Data Technician, Business Performance Analyst, Marketing Analyst
Skills you will gain
Microsoft Excel
Python Programming
Data Analysis
Data Visualization (DataViz)
SQL
Data Science
Spreadsheet
Pivot Table
IBM Cognos Analytics
Dashboard
Pandas
Numpy
About this Professional Certificate
Gain the job-ready skills for an entry-level data analyst role through this Professional Certificate from IBM and position yourself competitively in the thriving job market for data analysts, which will see a 20% growth until 2028 (U.S. Bureau of Labor Statistics).
Power your data analyst career by learning the core principles of data analysis and gaining hands-on skills practice. You’ll work with a variety of data sources, project scenarios, and data analysis tools, including Excel, SQL, Python, Jupyter Notebooks, and Cognos Analytics, gaining practical experience with data manipulation and applying analytical techniques.
This Professional Certificate does not require any prior programming or statistical skills, and is suitable for learners with or without college degrees. All you need to get started is basic computer literacy, high school math, comfort working with numbers, willingness to learn, and a desire to enrich your profile with valuable skills.
Upon successful completion of this program, you’ll have analyzed real-world datasets, created interactive dashboards, and presented reports to share your findings, giving you the confidence and the portfolio to begin a career as an associate or junior data analyst. You’ll also build the foundation for other data disciplines such as data science or data engineering.
This program is ACE® recommended-when you complete, you can earn up to 12 college credits.
Applied Learning Project
Throughout the program, you’ll complete hands-on projects and labs and gain a firm grasp on the required technical skills to effectively gather, wrangle, mine, and visualize data, as well as the soft skills for working with stakeholders and storytelling with data to engage your audience.
Projects
Import, clean, and analyze fleet vehicle inventory with Excel pivot tables.
Use car sales key performance indicator (KPI) data to create an interactive dashboard with visualizations.
Extract and graph financial data with the Pandas data analysis Python library.
Use SQL to query census, crime, and school demographic data sets.
Wrangle data, graph plots, and create regression models to predict housing prices with data science Python libraries.
Create a dynamic Python dashboard to monitor, report, and improve US domestic flight reliability.
At the end of the program, you complete a real-world capstone project specifically designed to showcase your newly learned data analyst skills.
What you will learn
Demonstrate proficiency in using spreadsheets and utilizing Excel to perform a variety of data analysis tasks like data wrangling and data mining
Create various charts and plots in Excel & work with IBM Cognos Analytics to build dashboards. Visualize data using Python libraries like Matplotlib
Develop working knowledge of Python language for analyzing data using Python libraries like Pandas and Numpy, and invoke APIs and Web Services
Describe data ecosystem and Compose queries to access data in cloud databases using SQL and Python from Jupyter notebooks
Homepage

https://www.coursera.org/professional-certificates/ibm-data-analyst