Feeling stuck in your current data analyst role? Ready for a change of scenery? This video is your step-by-step guide to successfully pivoting industries as a data analyst.
Ready to transition your career as a data analyst to a different role? This video is your step-by-step guide to successfully pivoting industries as a data analyst.
Here's how to make the leap:
Research your target industries: Identify industries that excite you and understand their unique data challenges.
Retool your resume and portfolio: Highlight relevant projects and tailor your resume to showcase your industry knowledge.
Build domain expertise: Take courses, earn certifications, and build projects that demonstrate your industry-specific skills.
Network like crazy: Attend events, connect on LinkedIn, and build relationships with professionals in your target industry.
Get creative with side projects: Gain hands-on experience with freelance work or case studies using industry-related data.
professional certificate
Get on the fast track to a career in Data Analytics. In this certificate program, you’ll learn in-demand skills, and get AI training from Google experts. Learn at your own pace, no degree or experience required.
4.8
(158,926 ratings)
2,900,656 already enrolled
Beginner level
Average time: 6 month(s)
Learn at your own pace
Skills you'll build:
Tableau Software, Sampling (Statistics), Presentations, Data Visualization, Ggplot2, Applicant Tracking Systems, Data Storytelling, Spreadsheet Software, Rmarkdown, Data Literacy, Data Analysis, Stakeholder Communications, Data Validation, LinkedIn, Data Ethics, Data Visualization Software, Interviewing Skills, Data Cleansing, Data Presentation, Interactive Data Visualization, SQL, Data Transformation, Data Integrity, Data Quality, Data Processing, Sample Size Determination, Data-Driven Decision-Making, Analytical Skills, Data Management, Data Sharing, Google Sheets, Generative AI, Problem Solving, Prompt Engineering, Professional Development, Communication, Personal Attributes, Dashboard, Quantitative Research, Business Analysis, Expectation Management, R Programming, Data Manipulation, Tidyverse (R Package), Package and Software Management, Statistical Programming, Data Import/Export, Data Structures, Data Collection, Data Security, Unstructured Data, Data Storage, Relational Databases, Databases, Web Content Accessibility Guidelines, Business Analytics, Research Reports, Artificial Intelligence, Portfolio Management, Pivot Tables And Charts, Excel Formulas, Data Compilation, Analytics, Data Integration, User Feedback
professional certificate
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
(23,574 ratings)
413,779 already enrolled
Beginner level
Average time: 4 month(s)
Learn at your own pace
Skills you'll build:
Data Visualization, IBM Cognos Analytics, Data Storytelling, Dashboard, Exploratory Data Analysis, Professional Networking, Plotly, Data Transformation, Data Analysis, Microsoft Excel, Big Data, Data Wrangling, Python Programming, Data Visualization Software, Data Cleansing, SQL, Generative AI, Jupyter, Interactive Data Visualization, Excel Formulas, Regression Analysis, Data Manipulation, Scikit Learn (Machine Learning Library), Pandas (Python Package), Data Pipelines, Predictive Modeling, NumPy, Matplotlib, Data-Driven Decision-Making, Feature Engineering, Statistical Analysis, Data Import/Export, Interviewing Skills, LinkedIn, Business Writing, Professional Development, Presentations, Analytical Skills, Portfolio Management, Recruitment, Relationship Building, Pivot Tables And Charts, Histogram, Tree Maps, Scatter Plots, ChatGPT, Artificial Intelligence and Machine Learning (AI/ML), Query Languages, Prompt Engineering, Data Ethics, Analytics, OpenAI, Databases, Relational Databases, Stored Procedure, Transaction Processing, Database Design, Database Management, Data Collection, Apache Spark, Data Lakes, Data Mart, Apache Hive, Data Warehousing, Data Science, Apache Hadoop, Data Quality, Spreadsheet Software, Google Sheets, Information Privacy, Data Presentation, Web Scraping, Box Plots, Seaborn, Heat Maps, Geospatial Information and Technology, Data Structures, Object Oriented Programming (OOP), File Management, Application Programming Interface (API), Restful API, Programming Principles, Computer Programming, Data Processing
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