{"id":25184271,"url":"https://github.com/cnoret/ibm-data-analyst-professional","last_synced_at":"2026-05-09T00:09:23.114Z","repository":{"id":258027297,"uuid":"872100396","full_name":"cnoret/IBM-data-analyst-professional","owner":"cnoret","description":"Final project \u0026 Courses Notebooks","archived":false,"fork":false,"pushed_at":"2024-11-03T14:52:38.000Z","size":9536,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-05-30T23:21:34.439Z","etag":null,"topics":["analyzing-data","data-analysis","data-analyst","data-manipulation","data-science","data-visualization","ibm","ibm-certificate","ibm-data-analyst-professional","ibm-datascience-certification","pandas","python"],"latest_commit_sha":null,"homepage":"https://lookerstudio.google.com/reporting/f3590499-4bec-426c-98a3-87702b88186c","language":"Jupyter Notebook","has_issues":false,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/cnoret.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-10-13T19:23:34.000Z","updated_at":"2025-01-29T23:24:20.000Z","dependencies_parsed_at":"2025-02-09T19:41:02.242Z","dependency_job_id":null,"html_url":"https://github.com/cnoret/IBM-data-analyst-professional","commit_stats":null,"previous_names":["cnoret/ibm-data-analyst-capstone-project"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/cnoret/IBM-data-analyst-professional","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cnoret%2FIBM-data-analyst-professional","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cnoret%2FIBM-data-analyst-professional/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cnoret%2FIBM-data-analyst-professional/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cnoret%2FIBM-data-analyst-professional/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/cnoret","download_url":"https://codeload.github.com/cnoret/IBM-data-analyst-professional/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/cnoret%2FIBM-data-analyst-professional/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32802568,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-08T08:22:46.396Z","status":"ssl_error","status_checked_at":"2026-05-08T08:22:45.650Z","response_time":54,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["analyzing-data","data-analysis","data-analyst","data-manipulation","data-science","data-visualization","ibm","ibm-certificate","ibm-data-analyst-professional","ibm-datascience-certification","pandas","python"],"created_at":"2025-02-09T19:30:46.619Z","updated_at":"2026-05-09T00:09:23.098Z","avatar_url":"https://github.com/cnoret.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003cdiv align=\"center\"\u003e\n\u003ch3\u003eIf my work has helped you, don't forget to click on the “ ⭐Star” button !\u003c/h3\u003e\n\u003c/div\u003e\n\n# IBM Data Analyst Professional (2024) \u003cimg src=\"/certificate/IBM-Banner.png\" align=\"right\" width=\"120\" /\u003e\n\n## 📍 About the certificate\nPrepare for a career as a data analyst. Build **job-ready skills** – and must-have **AI skills** – for an in-demand career.\n\nIn this program, you’ll learn in-demand skills like Python, Excel, and SQL to get job-ready in as little as 4 months, 10 hours a week.\n\n---\n\n## 🥇 Professional Certificate\n\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"/certificate/IBM Data Analyst.png\" width=80% height=80%\u003e\n\n---\n\n## 📙 Course Structures\n\nThere are 11 Courses in this Professional Certificate Specialization are as follows:\n\n- [x] [__Introduction to Data Analytics__](https://github.com/cnoret/IBM-data-analyst-professional/)\n\n* Explain what Data Analytics is and the key steps in the Data Analytics process\n\n* Differentiate between different data roles such as Data Engineer, Data Analyst, Data Scientist, Business Analyst, and Business Intelligence Analyst\n\n* Describe the different types of data structures, file formats, and sources of data\n\n* Describe the data analysis process involving collecting, wrangling, mining, and visualizing data\n\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"/certificate/1 - Introduction to Data Analytics.png\" width=60% height=60%\u003e\n\n- [x] [__Excel Basics for Data Analysis__](https://github.com/cnoret/IBM-data-analyst-professional/)\n\n* Display working knowledge of Excel for Data Analysis.\n\n* Perform basic spreadsheet tasks including navigation, data entry, and using formulas.\n\n* Employ data quality techniques to import and clean data in Excel.\n\n* Analyze data in spreadsheets by using filter, sort, look-up functions, as well as pivot tables.\n\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"/certificate/2 - Excel Basics for Data Analysis.png\" width=60% height=60%\u003e\n\n\n- [X] [__Data Visualization and Dashboards with Excel and Cognos__ ](https://github.com/cnoret/IBM-data-analyst-professional/)\n\n* Create basic visualizations such as line graphs, bar graphs, and pie charts using Excel spreadsheets.\n\n* Explain the important role charts play in telling a data-driven story. \n\n* Construct advanced charts and visualizations such as Treemaps, Sparklines, Histogram, Scatter Plots, and Filled Map Charts.\n\n* Build and share interactive dashboards using Excel and Cognos Analytics.\n\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"/certificate/3 - Data Visualization and Dashboards with Excel and Cognos.png\" width=60% height=60%\u003e\n\n- [x] [__Python for Data Science, AI \u0026 Development__](https://github.com/cnoret/IBM-data-analyst-professional/)\n\n* Learn Python - the most popular programming language and for Data Science and Software Development.\n\n* Apply Python programming logic Variables, Data Structures, Branching, Loops, Functions, Objects \u0026 Classes.\n\n* Demonstrate proficiency in using Python libraries such as Pandas \u0026 Numpy, and developing code using Jupyter Notebooks.\n\n* Access and web scrape data using APIs and Python libraries like Beautiful Soup. \n\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"/certificate/4 - Python for Data Science, AI \u0026 Development.png\" width=60% height=60%\u003e\n\n- [X] [__Python Project for Data Science__](https://github.com/cnoret/IBM-data-analyst-professional/)\n\n* Play the role of a Data Scientist / Data Analyst working on a real project.\n\n* Demonstrate your Skills in Python - the language of choice for Data Science and Data Analysis. \n\n* Apply Python fundamentals, Python data structures, and working with data in Python.\n\n* Build a dashboard using Python and libraries like Pandas, Beautiful Soup and Plotly using Jupyter notebook.\n\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"/certificate/5- Python Project for Data Science.png\" width=60% height=60%\u003e\n\n- [x] [__Databases and SQL for Data Science__](https://github.com/cnoret/IBM-data-analyst-professional/)\n\n* Analyze data within a database using SQL and Python.\n\n* Create a relational database and work with multiple tables using DDL commands. \n\n* Construct basic to intermediate level SQL queries using DML commands. \n\n* Compose more powerful queries with advanced SQL techniques like views, transactions, stored procedures, and joins. \n\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"/certificate/6 - Databases and SQL for Data Science with Honors.png\" width=60% height=60%\u003e\n\n- [x] [__Data Analysis with Python__](https://github.com/cnoret/IBM-data-analyst-professional/)\n\n* Develop Python code for cleaning and preparing data for analysis - including handling missing values, formatting, normalizing, and binning data\n\n* Perform exploratory data analysis and apply analytical techniques to real-word datasets using libraries such as Pandas, Numpy and Scipy\n\n* Manipulate data using dataframes, summarize data, understand data distribution, perform correlation and create data pipelines\n\n* Build and evaluate regression models using machine learning scikit-learn library and use them for prediction and decision making\n\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"/certificate/7 - Data Analysis with Python.png\" width=60% height=60%\u003e\n\n- [x] [__Data Visualization with Python__](https://github.com/cnoret/IBM-data-analyst-professional/)\n\n* Implement data visualization techniques and plots using Python libraries, such as Matplotlib, Seaborn, and Folium to tell a stimulating story\n\n* Create different types of charts and plots such as line, area, histograms, bar, pie, box, scatter, and bubble\n\n* Create advanced visualizations such as waffle charts, word clouds, regression plots, maps with markers, \u0026 choropleth maps\n\n* Generate interactive dashboards containing scatter, line, bar, bubble, pie, and sunburst charts using the Dash framework and Plotly library\n\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"/certificate/8 - Data Visualization with Python.png\" width=60% height=60%\u003e\n\n- [x] [__IBM Data Analyst Capstone Project__](https://github.com/cnoret/IBM-data-analyst-professional/)\n\n* Apply different techniques to collect and wrangle data\n\n* Showcase your Data Analysis and Visualization skills \n\n* Create a data analysis report and a compelling presentation\n\n* Demonstrate proficiency with various Python Libraries\n\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"/certificate/9 - IBM Data Analyst Capstone Project.png\" width=60% height=60%\u003e\n\n- [x] [__Generative AI: Enhance your Data Analytics Career__](https://github.com/cnoret/IBM-data-analyst-professional/)\n\n* Describe how you can use Generative AI tools and techniques in the context of data analytics across industries\n\n* Implement various data analytic processes such as data preparation, analysis, visualization and storytelling using Generative AI tools\n\n* Evaluate real-world case studies showcasing the successful application of Generative AI in deriving meaningful insights \n\n* Analyze the ethical considerations and challenges associated with using Generative AI in data analytics\n\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"/certificate/10 - Generative AI_ Enhance your Data Analytics Career.png\" width=60% height=60%\u003e\n\n- [x] [__Data Analyst Career Guide and Interview Preparation__](https://github.com/cnoret/IBM-data-analyst-professional/)\n\n* Describe the role of a data analyst and some career path options as well as the prospective opportunities in the field.\n\n* Explain how to build a foundation for a job search, including researching job listings, writing a resume, and making a portfolio of work.\n\n* Summarize what a candidate can expect during a typical job interview cycle, different types of interviews, and how to prepare for interviews.\n\n* Explain how to give an effective interview, including techniques for answering questions and how to make a professional personal presentation.\n\n\u003cp align=\"center\"\u003e\n\u003cimg src=\"/certificate/11 - Data Analyst Career Guide and Interview Preparation.png\" width = 60% height = 60%\u003e\n\n---\n[![View My Profile](https://img.shields.io/badge/View-My_Profile-green?logo=GitHub)](https://github.com/cnoret) \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcnoret%2Fibm-data-analyst-professional","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcnoret%2Fibm-data-analyst-professional","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcnoret%2Fibm-data-analyst-professional/lists"}