What skills can I learn from Data Analysis courses on Coursera?

Coursera’s Data Analysis courses equip learners with essential analytical skills to interpret and make sense of data: Fundamental and advanced techniques for data collection, cleaning, and preprocessing. Statistical analysis and quantitative reasoning to derive insights from data. Use of major data analysis tools and software, including Python , R , SQL , and Excel . Data visualization skills to represent data effectively and communicate findings. Predictive analytics to forecast trends and behaviors using historical data. Application of data analysis skills in various industries like healthcare, marketing, finance, and technology.

Do I need prior experience in statistics or programming to start learning Data Analysis on Coursera?

Data Analysis courses on Coursera are accessible to learners with varying levels of experience: Beginners can start with courses that introduce basic data analysis concepts and tools. Intermediate learners can enhance their skills with more detailed studies in specific areas such as s tatistical modeling or machine learning . Advanced users can deepen their expertise with complex data analytics projects and applications.

What certifications and credentials can I earn through Data Analysis courses on Coursera?

Upon completing Data Analysis courses, learners can earn credentials that may support their career development: Professional certificates that may indicate proficiency in data analysis tools and techniques. Specializations that cover in-depth topics in data analysis, enhancing both knowledge and practical skills. Certificates that can be recognized by employers in fields that rely heavily on data-driven decision-making.

What career opportunities can be pursued with skills in Data Analysis?

Proficiency in data analysis can open doors to diverse career paths across multiple sectors: Data Analyst , interpreting data sets to help guide business decisions. Business Intelligence Analyst , using data to inform strategy and business practices. Market Research Analyst , analyzing data to understand market trends and consumer preferences. Operations Analyst , using data to optimize business operations and increase efficiency. Financial Analyst , employing analytical techniques to assess financial data and predict future trends.

How can I purchase data analysis training courses for my team?

Looking to enhance your team's data analysis skills? Coursera provides tailored enterprise solutions for teams ranging of 5-125 employees. Our offerings include advanced analytics, customized learning paths, and collaborative tools. To explore our data analysis training options and make a purchase, please visit our Coursera for Teams page.

Top Data Analysis Courses - Learn Data Analysis Online

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Data Analysis

Data Analysis Courses

Master skills in data cleaning, exploratory analysis, and data visualization. Find courses that teach you to effectively interpret and present data insights.

Find the best Data Analysis course for your goals

Status: New
Status: Free Trial
Google
Google Data Analysis with Python
Skills you'll gain: Pandas (Python Package), NumPy, Data Manipulation, Data Wrangling, Package and Software Management, Data Analysis, Data Transformation, Unstructured Data, JSON, Object Oriented Programming (OOP), Data Science, Python Programming, Computer Programming, Programming Principles, Data Import/Export, Software Design, Data Validation, Mathematical Software, Computational Logic, Data Structures
4.9
Rating, 4.9 out of 5 stars
48 reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
IBM
Data Analysis with Python
Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Data Transformation, Data Analysis, Data Cleansing, Data Manipulation, Data Import/Export, Predictive Modeling, Regression Analysis, Statistical Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data-Driven Decision-Making, Matplotlib, Feature Engineering, Data Visualization, Data Pipelines, NumPy, Python Programming
4.7
Rating, 4.7 out of 5 stars
19K reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
Status: AI skills
Google
Google Data Analytics
Skills you'll gain: Data Storytelling, Data Literacy, Data Visualization, Data Presentation, Data Ethics, Data Cleansing, Rmarkdown, Data Validation, Ggplot2, Tableau Software, Sampling (Statistics), Presentations, Spreadsheet Software, Data Analysis, Dashboard, Data Processing, Data Structures, Python Programming, Interviewing Skills, Professional Development
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
178K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
IBM
Python for Data Science, AI & Development
Skills you'll gain: Data Import/Export, Programming Principles, Web Scraping, Python Programming, Jupyter, Data Structures, Data Processing, Pandas (Python Package), Data Manipulation, JSON, Computer Programming, Restful API, NumPy, Object Oriented Programming (OOP), Scripting, Application Programming Interface (API), Automation, Data Analysis
4.6
Rating, 4.6 out of 5 stars
43K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Status: AI skills
IBM
IBM Data Analyst
Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Data Wrangling, Dashboard, Data Visualization Software, Plotly, Data Visualization, Data Presentation, Interactive Data Visualization, Generative AI, SQL, Data Transformation, Data Analysis, Big Data, IBM Cognos Analytics, Excel Formulas, Professional Networking, Data Import/Export, Microsoft Excel, Python Programming
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
97K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
Rice University
Python Data Analysis
Skills you'll gain: Data Processing, Data Manipulation, Data Structures, Scripting, Data Import/Export, Data Analysis, Python Programming, Data Storage
4.7
Rating, 4.7 out of 5 stars
891 reviews
Beginner · Course · 1 - 4 Weeks

What brings you to Coursera today?

Start my career

Change my career

Grow in my current role

Explore topics outside of work

Status: Free Trial
IBM
Databases and SQL for Data Science with Python
Skills you'll gain: SQL, Relational Databases, Stored Procedure, Databases, Query Languages, Jupyter, Data Manipulation, Data Analysis, Pandas (Python Package), Transaction Processing, Python Programming
4.7
Rating, 4.7 out of 5 stars
22K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Packt
Data Analysis with Pandas and Python
Skills you'll gain: Pandas (Python Package), Data Import/Export, Matplotlib, Pivot Tables And Charts, Jupyter, Data Visualization Software, Microsoft Excel, Data Analysis, Text Mining, Data Manipulation, Data Cleansing, NumPy, Data Analysis Software, Data Integration, Data Wrangling, Time Series Analysis and Forecasting, Data Transformation, Python Programming, Data Structures, Development Environment
4.7
Rating, 4.7 out of 5 stars
40 reviews
Intermediate · Specialization · 3 - 6 Months
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
370 reviews
Beginner · Guided Project · Less Than 2 Hours
Status: Free Trial
Microsoft
Data Analysis and Visualization with Python
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
4.4
Rating, 4.4 out of 5 stars
89 reviews
Beginner · Course · 1 - 3 Months
Status: Free
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, Exploratory Data Analysis, Descriptive Statistics, Matplotlib, Data Manipulation, Customer Analysis, Analytical Skills, Trend Analysis, Pandas (Python Package), Python Programming, Jupyter
4.6
Rating, 4.6 out of 5 stars
20 reviews
Intermediate · Guided Project · Less Than 2 Hours
Status: Free Trial
University of Pennsylvania
Data Analysis Using Python
Skills you'll gain: Matplotlib, Data Analysis, Pandas (Python Package), Data Visualization, Data Science, Data Cleansing, Pivot Tables And Charts, Data Visualization Software, Data Manipulation, Scatter Plots, NumPy, Data Transformation, Jupyter, Data Validation, Data Import/Export, Histogram, Python Programming, Data Structures, Programming Principles, Scripting Languages
4.5
Rating, 4.5 out of 5 stars
426 reviews
Beginner · Course · 1 - 4 Weeks

Data Analysis learners also search

analysis

data analysis projects

statistical analysis

beginner data analysis

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

Google Data Analysis with Python: Google
Data Analysis with Python: IBM
Google Data Analytics: Google
Python for Data Science, AI & Development: IBM
IBM Data Analyst: IBM
Python Data Analysis: Rice University
Databases and SQL for Data Science with Python: IBM
Data Analysis with Pandas and Python: Packt
Python for Data Analysis: Pandas & NumPy: Coursera
Data Analysis and Visualization with Python: Microsoft

Frequently Asked Questions about Data Analysis

Coursera’s Data Analysis courses equip learners with essential analytical skills to interpret and make sense of data:

Fundamental and advanced techniques for data collection, cleaning, and preprocessing.
Statistical analysis and quantitative reasoning to derive insights from data.
Use of major data analysis tools and software, including Python, R, SQL, and Excel.
Data visualization skills to represent data effectively and communicate findings.
Predictive analytics to forecast trends and behaviors using historical data.
Application of data analysis skills in various industries like healthcare, marketing, finance, and technology.‎

Data Analysis courses on Coursera are accessible to learners with varying levels of experience:

Beginners can start with courses that introduce basic data analysis concepts and tools.
Intermediate learners can enhance their skills with more detailed studies in specific areas such as statistical modeling or machine learning.
Advanced users can deepen their expertise with complex data analytics projects and applications.‎

Upon completing Data Analysis courses, learners can earn credentials that may support their career development:

Professional certificates that may indicate proficiency in data analysis tools and techniques.
Specializations that cover in-depth topics in data analysis, enhancing both knowledge and practical skills.
Certificates that can be recognized by employers in fields that rely heavily on data-driven decision-making.‎

Proficiency in data analysis can open doors to diverse career paths across multiple sectors:

Data Analyst, interpreting data sets to help guide business decisions.
Business Intelligence Analyst, using data to inform strategy and business practices.
Market Research Analyst, analyzing data to understand market trends and consumer preferences.
Operations Analyst, using data to optimize business operations and increase efficiency.
Financial Analyst, employing analytical techniques to assess financial data and predict future trends.‎

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.