Beginner Data Analysis Courses
Beginner data analysis courses can help you learn data collection techniques, basic statistical concepts, data visualization, and interpretation of results. You can build skills in using spreadsheets for data manipulation, creating charts for visual representation, and applying descriptive statistics to summarize findings. Many courses introduce tools like Excel, Google Sheets, and data visualization software such as Tableau, showing you how to effectively analyze and present data to support decision-making.
Popular Beginner Data Analysis Courses and Certifications
DeepLearning.AI
Skills you'll gain: Probability & Statistics, Statistical Analysis, Statistics, Statistical Hypothesis Testing, Statistical Visualization, Descriptive Statistics, Data Analysis, Histogram, Probability Distribution, Correlation Analysis, Statistical Inference, Estimation, Simulation and Simulation Software, Sampling (Statistics), LLM Application, Spreadsheet Software
Skills you'll gain: Data Modeling, Power BI, Data Analysis Expressions (DAX), Data Visualization Software, Plotly, Matplotlib, Data Transformation, Data Visualization, Interactive Data Visualization, Data Manipulation, Statistical Visualization, Seaborn, Data Storytelling, Data Presentation, Dashboard, Data Cleansing, Scatter Plots, Pandas (Python Package), Data Import/Export, Data Preprocessing
University of Pennsylvania
Skills you'll gain: Data Storytelling, Data Presentation, Feature Engineering, Data Visualization Software, Unsupervised Learning, SQL, Data Analysis, Model Evaluation, Seaborn, Data Visualization, Tableau Software, Predictive Modeling, Exploratory Data Analysis, Predictive Analytics, Analytics, Presentations, Interactive Data Visualization, Verbal Communication Skills, Data Science, Machine Learning
Skills you'll gain: Data Visualization, Interactive Data Visualization, Data Import/Export, Technical Communication, Data Analysis, Exploratory Data Analysis, Data Visualization Software, Data Cleansing, Matlab, Statistical Analysis, Probability & Statistics, Descriptive Statistics, Data Manipulation, Data Mapping, Scripting
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
Skills you'll gain: Performance Tuning
Skills you'll gain: Microsoft Excel, Excel Formulas, Business Mathematics, Power BI, Data Analysis, Pivot Tables And Charts, Data Transformation, Timelines, Data Cleansing, Data Management
Skills you'll gain: Regression Analysis, Statistical Analysis, Time Series Analysis and Forecasting, Logistic Regression, R Programming, Statistical Hypothesis Testing, Probability & Statistics, Statistical Modeling, R (Software), Statistical Methods, Predictive Modeling, Generative AI, Rmarkdown, Forecasting, Descriptive Statistics, Power BI, Ggplot2
Skills you'll gain: Minitab, Data Analysis, Statistical Hypothesis Testing, Regression Analysis, Descriptive Statistics, Statistical Analysis, Predictive Modeling, Statistical Modeling, Data-Driven Decision-Making, Exploratory Data Analysis, Statistical Methods, Statistical Inference
Skills you'll gain: Microsoft Excel, Excel Formulas, Spreadsheet Software, Pivot Tables And Charts, Data Analysis, Data Manipulation, Microsoft Office, Data Mining
Skills you'll gain: Rmarkdown, Knitr, Exploratory Data Analysis, Dimensionality Reduction, Ggplot2, Plotly, Data Visualization, Data Visualization Software, Statistical Visualization, Data Storytelling, Statistical Analysis, Generative AI, R Programming, Correlation Analysis, Data Analysis, Tidyverse (R Package), Scatter Plots, Descriptive Statistics, Data Cleansing, Data Preprocessing
Queen Mary University of London
Skills you'll gain: Analytics, Data Analysis, Statistical Analysis, Correlation Analysis, Quantitative Research, Regression Analysis, Marketing Analytics, Probability & Statistics, Statistical Methods, Data Cleansing, Digital Marketing, Exploratory Data Analysis, Market Research, Data Preprocessing, Return On Investment
In summary, here are 10 of our most popular beginner data analysis courses
- Applied Statistics for Data Analytics: DeepLearning.AI
- Data Visualization for Beginners with Python & Power BI: Packt
- How to Use Data: University of Pennsylvania
- Exploratory Data Analysis with MATLAB: MathWorks
- Statistical Methods and Data Analysis : O.P. Jindal Global University
- Master SQL for Data Analysis: Packt
- Data for Analysis with Microsoft Excel: Microsoft
- Statistical Analysis and Advanced Techniques: Microsoft
- Data Analysis with Minitab: Analyze & Apply: EDUCBA
- Introduction to Data Analysis using Microsoft Excel: Coursera
