Datenanalyse-Kurse können Ihnen helfen, Datensätze zu untersuchen, Muster zu erkennen und Ergebnisse verständlich darzustellen. Sie können Fähigkeiten in Statistik, Visualisierung, Datenaufbereitung und grundlegenden Analyseverfahren aufbauen. Viele Kurse führen in Tabellenkalkulationen, Visualisierungstools und Analyse-Workflows ein.

Skills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Data Analysis, Data Import/Export, Spreadsheet Software, Data Wrangling, Data Quality, Pivot Tables And Charts, Google Sheets, Data Manipulation, Data Science, Information Privacy
Beginner · Course · 1 - 3 Months

Skills you'll gain: Exploratory Data Analysis, Model Evaluation, Data Transformation, Data Analysis, Data Cleansing, Data Manipulation, Data Import/Export, Predictive Modeling, Data Preprocessing, Regression Analysis, Data Science, Statistical Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data-Driven Decision-Making, Matplotlib, Data Visualization, NumPy, Python Programming
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Excel Macros, Data Validation, Scatter Plots, Pivot Tables And Charts, Microsoft Excel, Data Visualization, Regression Analysis, Excel Formulas, Histogram, Data Analysis, Data Integrity, Descriptive Statistics, Data Visualization Software, Spreadsheet Software, Analytics, Statistical Analysis, Data Analysis Expressions (DAX), Statistical Methods, Descriptive Analytics, Automation
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Microsoft Excel, Excel Formulas, Spreadsheet Software, Pivot Tables And Charts, Data Analysis, Data Manipulation, Microsoft Office, Data Mining
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Pandas (Python Package), NumPy, Data Manipulation, Data Preprocessing, Package and Software Management, Data Analysis, Data Transformation, Data Integration, JSON, Object Oriented Programming (OOP), Data Wrangling, Data Science, Python Programming, Computer Programming, Programming Principles, Data Import/Export, Software Design, Data Validation, Computational Logic, Data Structures
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Rmarkdown, Ggplot2, R Programming, Data Analysis, Tidyverse (R Package), Data Visualization, Statistical Programming, Data Visualization Software, Data Cleansing, Data Manipulation, Data Import/Export, Data Structures
Beginner · Course · 1 - 3 Months
Duke University
Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Exploratory Data Analysis, Peer Review, Regression Analysis, R (Software), Statistical Reporting, Probability Distribution, Statistical Analysis, Statistics, Data Analysis Software, Data Analysis, Probability & Statistics, Probability, R Programming, Statistical Modeling, Statistical Methods, Data Visualization
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Generative AI, Matplotlib, Plotly, Data Ethics, Data Visualization, Data Cleansing, Data Manipulation, Exploratory Data Analysis, Pandas (Python Package), Data Transformation, Interactive Data Visualization, Data Visualization Software, Data Storytelling, Data Analysis, Scikit Learn (Machine Learning Library), Jupyter, Python Programming, Machine Learning, Model Evaluation
Beginner · Course · 1 - 3 Months

Skills you'll gain: Data Visualization, Data Visualization Software, Spreadsheet Software, Correlation Analysis, Google Sheets, Pivot Tables And Charts, Dashboard, Data Analysis, Data Storytelling, Tableau Software, Descriptive Statistics, Data Cleansing, Exploratory Data Analysis, Data Manipulation, Statistics, SQL
Beginner · Course · 1 - 3 Months

University at Buffalo
Skills you'll gain: Data Storytelling, Statistical Process Controls, Data Presentation, Data Visualization Software, Data-Driven Decision-Making, Business Analytics, Tableau Software, Data Analysis, Minitab, Data Cleansing, Statistical Analysis, Data Quality, Process Analysis, Business Process, Key Performance Indicators (KPIs), Matlab
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Generative AI, Matplotlib, Plotly, Prompt Engineering, Data Ethics, Power BI, Data Visualization, Microsoft Excel, Data Manipulation, Exploratory Data Analysis, Data Cleansing, Pandas (Python Package), Data Transformation, Excel Formulas, Pivot Tables And Charts, Data Visualization Software, Data Analysis, Microsoft Copilot, Data Presentation, Data Processing
Intermediate · Specialization · 3 - 6 Months

Vanderbilt University
Skills you'll gain: Prompt Engineering, Data Presentation, ChatGPT, Document Management, Artificial Intelligence, AI Enablement, Problem Solving, Data Analysis, Information Management, Creativity, Data Processing, Automation
Beginner · Course · 1 - 3 Months
Data analysis is the process of inspecting, cleansing, transforming, and modeling data to discover useful information, inform conclusions, and support decision-making. It is important because it enables organizations to make data-driven decisions, identify trends, and improve efficiency. In today's data-driven world, the ability to analyze data effectively is crucial for businesses and individuals alike, as it can lead to better strategies and outcomes.
In the field of data analysis, various job roles are available, including data analyst, business intelligence analyst, data scientist, and data engineer. These positions often require a blend of analytical skills, technical expertise, and domain knowledge. As organizations increasingly rely on data to drive their operations, the demand for skilled professionals in data analysis continues to grow, offering numerous opportunities for career advancement.
To succeed in data analysis, you need to develop a range of skills, including statistical analysis, data visualization, programming (often in languages like Python or R), and proficiency in tools such as Excel and SQL. Additionally, understanding data management and having strong problem-solving abilities are essential. These skills will empower you to interpret data effectively and communicate insights to stakeholders.
There are many online courses available for data analysis that cater to different skill levels and interests. Some notable options include the Data Analysis and Interpretation Specialization, which covers essential techniques and tools, and the Data Analysis with Python Specialization, which focuses on using Python for data analysis tasks. These courses provide valuable knowledge and practical experience.
Yes. You can start learning data analysis on Coursera for free in two ways:
If you want to keep learning, earn a certificate in data analysis, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.
To learn data analysis, start by identifying the specific areas you want to focus on, such as statistical analysis or data visualization. Enroll in relevant online courses, practice with real datasets, and work on projects to apply your skills. Engaging with communities and forums can also provide support and additional resources as you progress in your learning journey.
Typical topics covered in data analysis courses include data cleaning, exploratory data analysis, statistical methods, data visualization techniques, and the use of software tools like Excel, Python, and R. Courses may also touch on advanced topics such as machine learning and big data analytics, depending on the level and focus of the program.
For training and upskilling employees in data analysis, courses like the Microsoft Generative AI for Data Analysis Professional Certificate and the AI-Enhanced Data Analysis: From Raw Data to Deep Insights Specialization are excellent choices. These programs are designed to equip professionals with the necessary skills to analyze data effectively and leverage insights for business growth.