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: Rmarkdown, Ggplot2, R (Software), R Programming, Data Analysis, Tidyverse (R Package), Data Visualization, Statistical Programming, Data Visualization Software, Data Cleansing, Data Manipulation, Data Import/Export, Package and Software Management, 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

University of Colorado Boulder
Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Statistical Analysis, Regression Analysis, Probability, Probability Distribution, Sampling (Statistics), Box Plots, Histogram, R Programming, Statistical Methods, Scatter Plots, Microsoft Excel, Probability & Statistics, Statistics, Data Import/Export, Data Analysis
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Data Analysis, Model Evaluation, R Programming, Data Manipulation, Data Visualization, Predictive Analytics, Statistical Analysis, Data Science, Regression Analysis, Statistical Modeling, Data Cleansing, Data Preprocessing, Feature Engineering, Forecasting
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Exploratory Data Analysis, Plot (Graphics), Statistical Visualization, Ggplot2, Dimensionality Reduction, Data Visualization Software, R Programming, Graphing, Data Analysis, Statistical Analysis, Unsupervised Learning
Mixed · Course · 1 - 4 Weeks

O.P. Jindal Global University
Skills you'll gain: Sampling (Statistics), Statistical Analysis, Probability Distribution, Statistical Hypothesis Testing, Descriptive Statistics, Statistical Methods, Correlation Analysis, Regression Analysis, R (Software), R Programming, Statistical Modeling, Statistical Inference, Probability, Big Data, Decision Tree Learning
Build toward a degree
Mixed · Course · 1 - 3 Months

Skills you'll gain: Data Storytelling, Qualitative Research, Market Research, Quantitative Research, Data-Driven Decision-Making, Benchmarking, Data Presentation, Descriptive Statistics, Competitive Analysis, Analytical Skills, Research Design, Market Dynamics, Data Analysis, Data Visualization Software, Statistics, User Research, Data Collection, Data Analysis Software, Microsoft Excel, R Programming
Intermediate · Specialization · 1 - 3 Months

Illinois Tech
Skills you'll gain: Model Evaluation, Statistical Analysis, Bayesian Statistics, Data Visualization, Statistical Inference, Exploratory Data Analysis, Data Cleansing, Regression Analysis, Analytics, Data Analysis, Logistic Regression, Machine Learning, R Programming, Data Preprocessing, Statistical Modeling, Data Validation, R (Software), Data Mining, Statistical Programming, Predictive Modeling
Build toward a degree
Intermediate · Specialization · 3 - 6 Months

Imperial College London
Skills you'll gain: Analytical Skills, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, R (Software), Data Analysis, R Programming, Statistics, Public Health, Statistical Inference, Descriptive Statistics, Probability Distribution, Data Import/Export
Beginner · Course · 1 - 4 Weeks

Illinois Tech
Skills you'll gain: Statistical Analysis, Time Series Analysis and Forecasting, Data Analysis, Model Evaluation, Data Visualization, Exploratory Data Analysis, Statistical Programming, Statistical Machine Learning, Statistical Modeling, Data Cleansing, Analytics, Regression Analysis, R Programming, Statistical Software, Forecasting, Data Preprocessing, Bayesian Statistics, Supervised Learning, Statistical Inference, Machine Learning
Build toward a degree
Intermediate · Specialization · 3 - 6 Months

Duke University
Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, R (Software), Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Analysis, Descriptive Statistics
Beginner · Course · 1 - 3 Months

Skills you'll gain: Feature Engineering, Model Evaluation, Predictive Modeling, Model Deployment, Predictive Analytics, R Programming, Data Analysis, Statistical Analysis, Data Cleansing, Applied Machine Learning, Data Manipulation, Tidyverse (R Package), Classification Algorithms, Risk Modeling, Data Preprocessing, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours
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.‎