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Datenanalyse Kurse

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.


Beliebte Datenanalyse Kurse & Zertifikate


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    Coursera

    Introduction to Data Analysis using Microsoft Excel

    Skills you'll gain: Microsoft Excel, Excel Formulas, Spreadsheet Software, Pivot Tables And Charts, Data Analysis, Data Manipulation, Microsoft Office, Data Mining

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.5K reviews

    Intermediate · Guided Project · Less Than 2 Hours

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    Coursera

    Python for Data Analysis: Pandas & NumPy

    Skills you'll gain: Pandas (Python Package), NumPy, Data Analysis, Data Science, Python Programming, Data Structures, Exploratory Data Analysis, Data Manipulation, Computer Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    375 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Business Analysis & Process Management

    Skills you'll gain: Process Analysis, Business Process, Business Analysis, Workflow Management, Process Management, Process Flow Diagrams, Business Process Modeling, Stakeholder Management, Stakeholder Analysis, Computer Literacy

    4.5
    Rating, 4.5 out of 5 stars
    ·
    7.2K reviews

    Beginner · Guided Project · Less Than 2 Hours

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    Coursera

    COVID19 Data Analysis Using Python

    Skills you'll gain: Data Preprocessing, Correlation Analysis, Seaborn, Data Cleansing, Data Visualization, Statistical Analysis, Data Manipulation, Data Analysis, Exploratory Data Analysis, Pandas (Python Package), Data Integration, Statistics, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    2K reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    C

    Coursera

    Perform exploratory data analysis on retail data with Python

    Skills you'll gain: Data-Driven Decision-Making, Data Visualization, Business Analytics, Data Analysis, Data Cleansing, Statistical Analysis, Data Preprocessing, Exploratory Data Analysis, Matplotlib, Customer Analysis, Analytical Skills, Trend Analysis, Pandas (Python Package), Python Programming, Jupyter

    4.6
    Rating, 4.6 out of 5 stars
    ·
    21 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Getting Started in Google Analytics

    Skills you'll gain: Google Analytics, Web Analytics, Content Performance Analysis, Marketing Analytics, Dashboard, User Accounts

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.5K reviews

    Beginner · Guided Project · Less Than 2 Hours

What brings you to Coursera today?

  • C

    Coursera

    Using Basic Formulas and Functions in Microsoft Excel

    Skills you'll gain: Excel Formulas, Spreadsheet Software, Microsoft Excel, Microsoft Office, Microsoft 365, Data Analysis, Business Mathematics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.5K reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Next level skills. New Year savings.

    Save on Coursera Plus
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    Coursera

    Data Analysis with OpenAI API: Save time with GenAI

    Skills you'll gain: Prompt Engineering, OpenAI API, Generative AI, Exploratory Data Analysis, OpenAI, ChatGPT, Data Analysis, Data-Driven Decision-Making, Trend Analysis, Product Knowledge, Sales Strategy, E-Commerce, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    10 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Introduction to Business Analysis Using Spreadsheets: Basics

    Skills you'll gain: Google Sheets, Data Visualization, Spreadsheet Software, Data Presentation, Data Analysis, Data Visualization Software, Business Analytics, Productivity Software, Business Analysis, Data Manipulation, Descriptive Statistics, Analysis, Statistics, Excel Formulas, Data Cleansing, Mathematical Software

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1K reviews

    Beginner · Guided Project · Less Than 2 Hours

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    Coursera

    Data Analysis Using Pyspark

    Skills you'll gain: PySpark, Matplotlib, Apache Spark, Big Data, Data Processing, Distributed Computing, Data Management, Data Visualization, Data Analysis, Data Manipulation, Data Cleansing, Query Languages, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
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    315 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
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    Coursera

    How To Visualize Your Data Using Microsoft Powerpoint

    Skills you'll gain: Presentations, Microsoft PowerPoint, Data Visualization, Data Storytelling, Video Editing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    300 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Exploratory Data Analysis With Python and Pandas

    Skills you'll gain: Exploratory Data Analysis, Correlation Analysis, Matplotlib, Seaborn, Data Cleansing, Data Visualization, Pandas (Python Package), Data Analysis, NumPy, Statistical Analysis, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    444 reviews

    Beginner · Guided Project · Less Than 2 Hours

What brings you to Coursera today?

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In summary, here are 10 of our most popular data analysis courses

  • Introduction to Data Analysis using Microsoft Excel: Coursera
  • Python for Data Analysis: Pandas & NumPy: Coursera
  • Business Analysis & Process Management: Coursera
  • COVID19 Data Analysis Using Python: Coursera
  • Perform exploratory data analysis on retail data with Python: Coursera
  • Getting Started in Google Analytics: Coursera
  • Using Basic Formulas and Functions in Microsoft Excel: Coursera
  • Data Analysis with OpenAI API: Save time with GenAI: Coursera
  • Introduction to Business Analysis Using Spreadsheets: Basics: Coursera
  • Data Analysis Using Pyspark: Coursera

Frequently Asked Questions about Data Analysis

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:

  1. Preview the first module of many data analysis courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

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.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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