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Careers that need Data Analysis
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Best courses to learn Data Analysis
Precalculus: Relations and Functions
This course helps to build the foundational material to use mathematics as a tool to model, understand, and interpret the world around us. This is done through studying functions, their properties, and applications to data analysis. Concepts of precalculus provide the set of tools for the beginning student to begin their scientific career, preparing them for future science and calculus courses. This course is designed for all students, not just those interested in further mathematics courses. Students interested in the natural sciences, computer sciences, psychology, sociology, or similar w
All levels
Explain Black-Box Models
Ready to unlock the mystery behind your most powerful models? This Short Course was created to help data analysis professionals accomplish transparent and trustworthy AI implementation. By completing this course, you'll master SHAP values for executive communication, systematically compare explainability methods, and align explanation strategies with stakeholder needs. By the end of this course, you will be able to: Apply SHAP values to a black-box model and produce feature-importance visuals interpretable by non-technical executives Evaluate two XAI methods (LIME vs. SHAP) for fidelity and s
All levels
Data Visualization and Communication with Tableau
One of the skills that characterizes great business data analysts is the ability to communicate practical implications of quantitative analyses to any kind of audience member. Even the most sophisticated statistical analyses are not useful to a business if they do not lead to actionable advice, or if the answers to those business questions are not conveyed in a way that non-technical people can understand. In this course you will learn how to become a master at communicating business-relevant implications of data analyses. By the end, you will know how to structure your data analysis proj
All levels
Population Health: Responsible Data Analysis
In most areas of health, data is being used to make important decisions. As a health population manager, you will have the opportunity to use data to answer interesting questions. In this course, we will discuss data analysis from a responsible perspective, which will help you to extract useful information from data and enlarge your knowledge about specific aspects of interest of the population. First, you will learn how to obtain, safely gather, clean and explore data. Then, we will discuss that because data are usually obtained from a sample of a limited number of individuals, statistical
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Introduction to SIEM (Splunk)
This course provides a comprehensive understanding of Security Information and Event Management (SIEM) concepts and practical skills using Splunk as an SIEM solution. You will discover SIEM fundamentals, Splunk architecture, data collection and management, data analysis, and advanced topics such as correlation and incident response. By the end of the course, you will effectively apply Splunk for log analysis, threat detection, and security monitoring. Learning Objectives: Module 1: Introduction to SIEM and Log Management • Recognize SIEM fundamentals and its role in cybersecurity. • Compreh
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Introduction to Data Analytics
This course provides a practical understanding and framework for basic analytics tasks, including data extraction, cleaning, manipulation, and analysis. It introduces the OSEMN cycle for managing analytics projects and you'll examine real-world examples of how companies use data insights to improve decision-making. By the end of this course you will be able to: • Formulate business goals, KPIs and associated metrics • Apply a data analysis process using the OSEMN framework • Identify and define the relevant data to be collected for marketing • Compare and contrast various data formats and the
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Observational Methods and Qualitative Data Analysis
This is primarily aimed at first- and second-year undergraduates interested in psychology, data analysis, and qualtitative research methods along with high school students and professionals with similar interests. This course delves into the qualitative research traditions of ethnographic inquiry and case study in psychology, emphasizing the use of participant observation. Students will explore the unique practices, data gathering and analysis methods, and researcher involvement in these traditions. This course explores the interviewing methods used in qualitative research in psychology. The
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Introduction to Data Analytics
Ready to start a career in Data Analysis but don’t know where to begin? This course presents you with a gentle introduction to Data Analysis, the role of a Data Analyst, and the tools used in this job. You will learn about the skills and responsibilities of a data analyst and hear from several data experts sharing their tips & advice to start a career. This course will help you to differentiate between the roles of Data Analysts, Data Scientists, and Data Engineers. You will familiarize yourself with the data ecosystem, alongside Databases, Data Warehouses, Data Marts, Data Lakes and Data Pi
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R Programming
In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language. The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code. Topics in statistical data analysis will provide working examp
All levels
Launch & Optimize Email Series
Ready to transform scattered email sends into powerful, strategic sequences that build relationships and drive results? This Short Course was created to help Marketing professionals accomplish building and optimizing high-performing email series that outperform single-email campaigns. By completing this course, you'll be able to create cohesive multi-email campaigns with personalized content, implement A/B testing strategies, and use data analytics to continuously improve your email series performance. By the end of this course, you will be able to: Build and launch a 3-part email series us
All levels
Microsoft Excel - Excel from Beginner to Advanced
Excel formulas, PivotTables, charts, and automation with macros and VBA.
All levels
Google Data Analytics Professional Certificate
Google's job-ready data analytics path: spreadsheets, SQL, Tableau, R, and data storytelling.
Beginner
IBM Data Science Professional Certificate
Python, SQL, data analysis, visualization, machine learning, and a capstone project.
Beginner
The Complete Financial Analyst Course
Excel, accounting, financial statement analysis, and valuation for aspiring analysts.
Beginner
Excel Skills for Business Specialization (Macquarie)
From Excel essentials to advanced formulas, dashboards, and automation.
Beginner
Statistics for Data Science and Business Analysis
Descriptive and inferential statistics, hypothesis testing, and regression.
Beginner
Google Advanced Data Analytics Professional Certificate
Statistics, Python, regression, and machine learning for experienced analysts.
Intermediate
Elasticsearch 8 and the Elastic Stack: In Depth and Hands On
Search and analyze data at scale with Elasticsearch, Logstash, and Kibana.
Intermediate
Data Analyst with Python Career Track
Interactive track covering pandas, data cleaning, visualization, and exploratory analysis.
Beginner
Google Analytics Certification (GA4)
Free Google Skillshop certification on GA4 setup, reports, and conversion measurement.
Beginner
Microsoft Power BI Data Analyst Professional Certificate
Prepare data, build dashboards, and earn a Power BI analyst credential from Microsoft.
Beginner