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Data Analysis Courses

Data analysis courses teach techniques for inspecting, cleaning, transforming, and modeling data to discover useful information, inform conclusions, and support decision-making. Build your analysis skills using technologies such as Python, R and SQL.
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Recommended for Data Analysis beginners

Build your Data Analysis skills with interactive courses, curated by real-world experts

course

Analyzing Data in Tableau

BeginnerSkill Level
8 hours
2K
Take your Tableau skills up a notch with advanced analytics and visualizations.

track

Associate Data Analyst in SQL

39 hours
1.9K
Gain the SQL skills you need to query a database, analyze the results, and become a SQL proficient Data Analyst. No prior coding experience required!

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223 results

course

Introduction to SQL

BeginnerSkill Level
2 hours
30.2K
Learn how to create and query relational databases using SQL in just two hours.

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Introduction to Power BI

BeginnerSkill Level
4 hours
10.3K
Master the Power BI basics and learn to use the data visualization software to build impactful reports.

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Intermediate SQL

BeginnerSkill Level
4 hours
22.3K
Accompanied at every step with hands-on practice queries, this course teaches you everything you need to know to analyze data using your own SQL code today!

course

Joining Data in SQL

BeginnerSkill Level
4 hours
15.1K
Level up your SQL knowledge and learn to join tables together, apply relational set theory, and work with subqueries.

course

Data Manipulation with pandas

BeginnerSkill Level
4 hours
12.4K
Learn how to import and clean data, calculate statistics, and create visualizations with pandas.

course

Introduction to Excel

BeginnerSkill Level
4 hours
6.9K
Master the Excel basics and learn to use this spreadsheet tool to conduct impactful analysis.

course

Introduction to Tableau

BeginnerSkill Level
6 hours
4.8K
Start your Tableau journey with our Introduction to Tableau course. Discover Tableau basics such as its features and dashboards.

course

Data Manipulation in SQL

BeginnerSkill Level
4 hours
7K
Master the complex SQL queries necessary to answer a wide variety of data science questions and prepare robust data sets for analysis in PostgreSQL.

course

Introduction to Statistics in Python

IntermediateSkill Level
4 hours
6.5K
Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data using Python.

course

Introduction to DAX in Power BI

BeginnerSkill Level
3 hours
6.2K
Enhance your Power BI knowledge, by learning the fundamentals of Data Analysis Expressions (DAX) such as calculated columns, tables, and measures.

course

Introduction to Statistics

BeginnerSkill Level
4 hours
5.5K
Learn the fundamentals of statistics, including measures of center and spread, probability distributions, and hypothesis testing with no coding involved!

course

Joining Data with pandas

IntermediateSkill Level
4 hours
6.6K
Learn to combine data from multiple tables by joining data together using pandas.

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Exploratory Data Analysis in Python

IntermediateSkill Level
4 hours
5K
Learn how to explore, visualize, and extract insights from data using exploratory data analysis (EDA) in Python.

course

Data Visualization in Power BI

BeginnerSkill Level
3 hours
5.3K
Power BI is a powerful data visualization tool that can be used in reports and dashboards.

course

Exploratory Data Analysis in SQL

IntermediateSkill Level
4 hours
3.1K
Learn how to explore whats available in a database: the tables, relationships between them, and data stored in them.

course

Data Preparation in Excel

BeginnerSkill Level
3 hours
5.1K
Understand how to prepare Excel data through logical functions, nested formulas, lookup functions, and PivotTables.

course

Introduction to Statistics in R

IntermediateSkill Level
4 hours
3.3K
Grow your statistical skills and learn how to collect, analyze, and draw accurate conclusions from data.

course

Data Manipulation with dplyr

BeginnerSkill Level
4 hours
4.6K
Build Tidyverse skills by learning how to transform and manipulate data with dplyr.

course

Cleaning Data in Python

IntermediateSkill Level
4 hours
3.9K
Learn to diagnose and treat dirty data and develop the skills needed to transform your raw data into accurate insights!

course

Data Preparation in Power BI

BeginnerSkill Level
3 hours
3.9K
In this interactive Power BI course, you’ll learn how to use Power Query Editor to transform and shape your data to be ready for analysis.

course

Introduction to Google Sheets

BeginnerSkill Level
2 hours
2.6K
Bring your Google Sheets to life by mastering fundamental skills such as formulas, operations, and cell references.

course

Data Visualization in Excel

BeginnerSkill Level
3 hours
3K
Learn how to create a range of visualizations in Excel for different data layouts, ensuring you incorporate best practices to help you build dashboards.

course

Analyzing Data in Tableau

BeginnerSkill Level
8 hours
2K
Take your Tableau skills up a notch with advanced analytics and visualizations.

course

Introduction to Regression in R

IntermediateSkill Level
4 hours
2.7K
Predict housing prices and ad click-through rate by implementing, analyzing, and interpreting regression analysis in R.

course

Hypothesis Testing in Python

IntermediateSkill Level
4 hours
2.7K
Learn how and when to use common hypothesis tests like t-tests, proportion tests, and chi-square tests in Python.

course

Introduction to NumPy

BeginnerSkill Level
4 hours
1.6K
Master your skills in NumPy by learning how to create, sort, filter, and update arrays using NYC’s tree census.

course

DAX Functions in Power BI

IntermediateSkill Level
3 hours
2.2K
Data Analysis Expressions (DAX) allow you to take your Power BI skills to the next level by writing custom functions.

course

Sampling in Python

IntermediateSkill Level
4 hours
2.9K
Learn to draw conclusions from limited data using Python and statistics. This course covers everything from random sampling to stratified and cluster sampling.

course

Data Transformation in Power BI

IntermediateSkill Level
3 hours
2.6K
You’ll learn how to (un)pivot, transpose, append and join tables. Gain power with custom columns, M language, and the Advanced Editor.

course

Introduction to Alteryx

BeginnerSkill Level
2 hours
1.2K
Enter the world of Alteryx Designer and learn how to navigate the tool to load, prepare, and aggregate data.

course

Introduction to Importing Data in R

BeginnerSkill Level
3 hours
2.2K
In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.

course

Introduction to Power Query in Excel

BeginnerSkill Level
3 hours
1K
Explore Excel Power Query for advanced data transformation and cleansing to boost your decision-making and analysis.

course

Exploratory Data Analysis in Power BI

BeginnerSkill Level
3 hours
2K
Learn how to build impactful reports with Power BI’s Exploratory Data Analysis (EDA) that uncover insights faster and drive business value.

course

Creating Dashboards in Tableau

BeginnerSkill Level
3 hours
2.2K
Dashboards are a must-have in a data-driven world. Increase your impact on business performance with Tableau dashboards.

course

Intermediate DAX in Power BI

IntermediateSkill Level
3 hours
1.9K
Discover a wide range of DAX calculations and learn how to use them in Microsoft Power BI.

course

Advanced Excel Functions

IntermediateSkill Level
2 hours
747
Boost your Excel skills with advanced referencing, lookup, and database functions using practical exercises.

course

Exploratory Data Analysis in R

IntermediateSkill Level
4 hours
2K
Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.

course

Web Scraping in Python

IntermediateSkill Level
4 hours
545
Learn to retrieve and parse information from the internet using the Python library scrapy.

course

Reports in Power BI

IntermediateSkill Level
3 hours
1.5K
Take your Power BI visualizations up a level with the skills you already have. Learn alternative data storytelling techniques to simply building dashboards.

course

Joining Data with dplyr

BeginnerSkill Level
4 hours
1.8K
Learn to combine data across multiple tables to answer more complex questions with dplyr.

course

Data Visualization in Tableau

BeginnerSkill Level
6 hours
1.5K
Data visualization is one of the most desired skills for data analysts. This course allows you to present your findings better using Tableau.

course

Data Analysis in Google Sheets

BeginnerSkill Level
3 hours
1.3K
Learn to use Google Sheets to clean, analyze, and draw insights from data. Discover how to sort, filter, and use VLOOKUP to combine data.

course

Data Connections in Power BI

BeginnerSkill Level
2 hours
1.6K
Discover the different ways you can enhance your Power BI data importing skills.

course

Cleaning Data in R

IntermediateSkill Level
4 hours
1.4K
Learn to clean data as quickly and accurately as possible to help you move from raw data to awesome insights.

course

Hypothesis Testing in R

IntermediateSkill Level
4 hours
1.4K
Learn how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.

course

Trend Analysis in Power BI

IntermediateSkill Level
3 hours
1.5K
Enhance your reports with trend analysis techniques such as time series, decomposition trees, and key influencers.

course

Report Design in Power BI

IntermediateSkill Level
3 hours
1.4K
Continue your data visualization journey where youll learn practical techniques for incorporating DAX measures and progressive disclosure in your reports.

course

Connecting Data in Tableau

BeginnerSkill Level
3 hours
1.5K
Learn to connect Tableau to different data sources and prepare the data for a smooth analysis.

course

Experimental Design in Python

IntermediateSkill Level
4 hours
1.2K
Implement experimental design setups and perform robust statistical analyses to make precise and valid conclusions!

course

Deploying and Maintaining Assets in Power BI

IntermediateSkill Level
2 hours
1.4K
Learn how to deploy and maintain assets in Power BI. You’ll get to grips with the Power BI Service interface and key elements in it like workspaces.

course

Streamlined Data Ingestion with pandas

IntermediateSkill Level
4 hours
1.1K
Learn to acquire data from common file formats and systems such as CSV files, spreadsheets, JSON, SQL databases, and APIs.

course

Intermediate Regression in R

IntermediateSkill Level
4 hours
1.1K
Learn to perform linear and logistic regression with multiple explanatory variables.

course

Intermediate Google Sheets

BeginnerSkill Level
4 hours
1.1K
Expand your Google Sheets vocabulary by diving deeper into data types, including numeric data, logical data, and missing data.

course

Power Pivot in Excel

IntermediateSkill Level
3 hours
581
Master Power Pivot in Excel to help import data, create relationships, and utilize DAX. Build dynamic dashboards to uncover actionable insights.

course

Reshaping Data with tidyr

IntermediateSkill Level
4 hours
776
Transform almost any dataset into a tidy format to make analysis easier.

course

Intermediate Power Query in Excel

IntermediateSkill Level
4 hours
666
Building on your foundational Power Query in Excel knowledge, this intermediate course takes you to the next level of data transformation mastery

course

Time Series Analysis in Python

IntermediateSkill Level
4 hours
486
In this four-hour course, you’ll learn the basics of analyzing time series data in Python.

course

Pivot Tables in Google Sheets

BeginnerSkill Level
2 hours
899
Learn how to create pivot tables and quickly organize thousands of data points with just a few clicks.

course

Foundations of Probability in R

BeginnerSkill Level
4 hours
883
In this course, youll learn about the concepts of random variables, distributions, and conditioning.

course

Creating PostgreSQL Databases

BeginnerSkill Level
4 hours
412
Learn how to create a PostgreSQL database and explore the structure, data types, and how to normalize databases.

course

Sampling in R

IntermediateSkill Level
4 hours
878
Master sampling to get more accurate statistics with less data.

course

Reshaping Data with pandas

IntermediateSkill Level
4 hours
741
Reshape DataFrames from a wide to long format, stack and unstack rows and columns, and wrangle multi-index DataFrames.

course

Calculations in Tableau

AdvancedSkill Level
6 hours
477
In this interactive course, you’ll learn how to use functions for your Tableau calculations and when you should use them!

course

Dashboard Design Concepts

BeginnerSkill Level
2 hours
318
Learn the skills needed to create impactful dashboards. Understand dashboard design fundamentals, visual analytics components, and dashboard types.

course

Data Preparation in Alteryx

BeginnerSkill Level
3 hours
581
Master data preparation, cleaning, and analysis in Alteryx Designer, whether you are a new or seasoned analyst.

course

Introduction to Oracle SQL

BeginnerSkill Level
4 hours
244
Sharpen your skills in Oracle SQL including SQL basics, aggregating, combining, and customizing data.

course

A/B Testing in Python

IntermediateSkill Level
4 hours
285
Learn the practical uses of A/B testing in Python to run and analyze experiments. Master p-values, sanity checks, and analysis to guide business decisions.

course

Foundations of Inference in R

IntermediateSkill Level
4 hours
601
Learn how to draw conclusions about a population from a sample of data via a process known as statistical inference.

course

Linear Algebra for Data Science in R

IntermediateSkill Level
4 hours
216
This course is an introduction to linear algebra, one of the most important mathematical topics underpinning data science.

course

Communicating with Data in the Tidyverse

BeginnerSkill Level
4 hours
405
Leverage the power of tidyverse tools to create publication-quality graphics and custom-styled reports that communicate your results.

course

Modeling with Data in the Tidyverse

IntermediateSkill Level
4 hours
535
Discover different types in data modeling, including for prediction, and learn how to conduct linear regression and model assessment measures in the Tidyverse.

course

Bayesian Data Analysis in Python

IntermediateSkill Level
4 hours
303
Learn all about the advantages of Bayesian data analysis, and apply it to a variety of real-world use cases!

course

Statistical Techniques in Tableau

IntermediateSkill Level
4 hours
474
Take your reporting skills to the next level with Tableau’s built-in statistical functions.

course

Visualizing Geospatial Data in Python

IntermediateSkill Level
4 hours
349
Learn how to make attractive visualizations of geospatial data in Python using the geopandas package and folium maps.

course

Intermediate Importing Data in R

IntermediateSkill Level
3 hours
329
Parse data in any format. Whether its flat files, statistical software, databases, or data right from the web.

course

Manipulating Time Series Data in R

IntermediateSkill Level
4 hours
348
Master time series data manipulation in R, including importing, summarizing and subsetting, with zoo, lubridate and xts.

course

Analyzing Social Media Data in Python

IntermediateSkill Level
4 hours
262
In this course, youll learn how to collect Twitter data and analyze Twitter text, networks, and geographical origin.

course

RNA-Seq with Bioconductor in R

IntermediateSkill Level
4 hours
203
Use RNA-Seq differential expression analysis to identify genes likely to be important for different diseases or conditions.

course

Data Transformation in Alteryx

BeginnerSkill Level
2 hours
476
Unlock Alteryx for data transformation, mastering Crosstab, Transpose, and workflow optimization in this interactive course.

course

Time Series Analysis in R

IntermediateSkill Level
4 hours
294
Learn the core techniques necessary to extract meaningful insights from time series data.

course

Experimental Design in R

IntermediateSkill Level
4 hours
293
In this course youll learn about basic experimental design, a crucial part of any data analysis.

course

Data Processing in Shell

IntermediateSkill Level
4 hours
183
Learn powerful command-line skills to download, process, and transform data, including machine learning pipeline.

course

Introduction to Bioconductor in R

IntermediateSkill Level
4 hours
165
Learn to use essential Bioconductor packages for bioinformatics using datasets from viruses, fungi, humans, and plants!

course

Data Manipulation in Alteryx

BeginnerSkill Level
3 hours
416
Orchestrate data using unions, joins, parsing, and performance optimization in Alteryx.

course

Introduction to Linear Modeling in Python

IntermediateSkill Level
4 hours
356
Explore the concepts and applications of linear models with python and build models to describe, predict, and extract insight from data patterns.

course

Anomaly Detection in Python

IntermediateSkill Level
4 hours
110
Detect anomalies in your data analysis and expand your Python statistical toolkit in this four-hour course.

course

Introduction to KNIME

BeginnerSkill Level
3 hours
118
Learn to use the KNIME Analytics Platform for data access, cleaning, and analysis with a no-code/low-code approach.

course

Feature Engineering with PySpark

AdvancedSkill Level
4 hours
276
Learn the gritty details that data scientists are spending 70-80% of their time on; data wrangling and feature engineering.

course

Foundations of Probability in Python

IntermediateSkill Level
5 hours
250
Learn fundamental probability concepts like random variables, mean and variance, probability distributions, and conditional probabilities.

course

Visualization Best Practices in R

BeginnerSkill Level
4 hours
450
Learn to effectively convey your data with an overview of common charts, alternative visualization types, and perception-driven style enhancements.

course

Introduction to Python in Power BI

BeginnerSkill Level
3 hours
98
Learn how to use Python scripts in Power BI for data prep, visualizations, and calculating correlation coefficients.

course

Time Series Analysis in Power BI

IntermediateSkill Level
5 hours
191
Learn to analyze data over time with this practical course on Time Series Analysis in Power BI. Work with real datasets & practice common techniques.

course

Generalized Linear Models in R

IntermediateSkill Level
4 hours
307
The Generalized Linear Model course expands your regression toolbox to include logistic and Poisson regression.

course

Forecasting in R

IntermediateSkill Level
5 hours
201
Learn how to make predictions about the future using time series forecasting in R including ARIMA models and exponential smoothing methods.

course

Generalized Linear Models in Python

AdvancedSkill Level
5 hours
264
Extend your regression toolbox with the logistic and Poisson models and learn to train, understand, and validate them, as well as to make predictions.

course

Baseball Data Visualization in Power BI

BeginnerSkill Level
3 hours
307
Discover how to analyze and visualize baseball data using Power BI. Create scatter plots, tornado charts, and gauges to bring baseball insights alive.

course

Network Analysis in R

IntermediateSkill Level
4 hours
248
Learn to analyze and visualize network data with the igraph package and create interactive network plots with threejs.

course

ARIMA Models in R

IntermediateSkill Level
4 hours
277
Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.

course

Case Study: Supply Chain Analytics in Power BI

IntermediateSkill Level
4 hours
75
Learn how to use Power BI for supply chain analytics in this case study. Create a make vs. buy analysis tool, calculate costs, and analyze production volumes.

course

Web Scraping in R

IntermediateSkill Level
4 hours
61
Learn how to efficiently collect and download data from any website using R.

course

Analyzing Police Activity with pandas

IntermediateSkill Level
4 hours
300
Explore the Stanford Open Policing Project dataset and analyze the impact of gender on police behavior using pandas.

course

Survival Analysis in R

IntermediateSkill Level
4 hours
218
Learn to work with time-to-event data. The event may be death or finding a job after unemployment. Learn to estimate, visualize, and interpret survival models!

course

Analyzing Survey Data in R

IntermediateSkill Level
4 hours
144
Learn survey design using common design structures followed by visualizing and analyzing survey results.

course

Case Study: Supply Chain Analytics in Tableau

IntermediateSkill Level
4 hours
196
Dive into our Tableau case study on supply chain analytics. Tackle shipment, inventory management, and dashboard creation to drive business improvements.

course

Marketing Analytics in Tableau

AdvancedSkill Level
6 hours
48
Master marketing analytics using Tableau. Analyze performance, benchmark metrics, and optimize strategies across channels.

course

Visualizing Geospatial Data in R

IntermediateSkill Level
4 hours
123
Learn to read, explore, and manipulate spatial data then use your skills to create informative maps using R.

course

Categorical Data in the Tidyverse

BeginnerSkill Level
4 hours
256
Get ready to categorize! In this course, you will work with non-numerical data, such as job titles or survey responses, using the Tidyverse landscape.

course

Dealing With Missing Data in R

BeginnerSkill Level
4 hours
179
Make it easy to visualize, explore, and impute missing data with naniar, a tidyverse friendly approach to missing data.

course

Time Series Analysis in Tableau

IntermediateSkill Level
4 hours
131
In this course, you’ll learn to classify, treat and analyze time series; an absolute must, if you’re serious about stepping up as an analytics professional.

course

Factor Analysis in R

AdvancedSkill Level
4 hours
127
Explore latent variables, such as personality, using exploratory and confirmatory factor analyses.

course

Foundations of Inference in Python

AdvancedSkill Level
4 hours
105
Get hands-on experience making sound conclusions based on data in this four-hour course on statistical inference in Python.

course

Analyzing Survey Data in Python

IntermediateSkill Level
4 hours
91
Learn how to analyze survey data with Python and discover when it is appropriate to apply statistical tools that are descriptive and inferential in nature.

course

Data Manipulation with data.table in R

BeginnerSkill Level
4 hours
101
Master core concepts about data manipulation such as filtering, selecting and calculating groupwise statistics using data.table.

course

Survival Analysis in Python

AdvancedSkill Level
4 hours
35
Use survival analysis to work with time-to-event data and predict survival time.

course

Time Series Analysis in PostgreSQL

IntermediateSkill Level
4 hours
78
Learn how to use PostgreSQL to handle time series analysis effectively and apply these techniques to real-world data.

course

Statistical Simulation in Python

IntermediateSkill Level
4 hours
44
Learn to solve increasingly complex problems using simulations to generate and analyze data.

course

Error and Uncertainty in Google Sheets

IntermediateSkill Level
4 hours
140
Learn to distinguish real differences from random noise, and explore psychological crutches we use that interfere with our rational decision making.

course

A/B Testing in R

IntermediateSkill Level
4 hours
48
Learn the basics of A/B testing in R, including how to design experiments, analyze data, predict outcomes, and present results through visualizations.

course

Analyzing IoT Data in Python

IntermediateSkill Level
4 hours
24
Learn how to import, clean and manipulate IoT data in Python to make it ready for machine learning.

course

Discrete Event Simulation in Python

AdvancedSkill Level
4 hours
26
Discover the power of discrete-event simulation in optimizing your business processes. Learn to develop digital twins using Pythons SimPy package.

course

Analyzing Social Media Data in R

IntermediateSkill Level
4 hours
133
Extract and visualize Twitter data, perform sentiment and network analysis, and map the geolocation of your tweets.

course

ChIP-seq with Bioconductor in R

IntermediateSkill Level
4 hours
89
Learn how to analyse and interpret ChIP-seq data with the help of Bioconductor using a human cancer dataset.

course

Case Study: Ecommerce Analysis in Tableau

IntermediateSkill Level
3 hours
31
In ecommerce, increasing sales and reducing expenses are top priorities. In this case study, youll investigate data from an online pet supply company.

course

Market Basket Analysis in R

IntermediateSkill Level
4 hours
87
Explore association rules in market basket analysis with R by analyzing retail data and creating movie recommendations.

course

Analyzing US Census Data in R

IntermediateSkill Level
4 hours
92
Learn to rapidly visualize and explore demographic data from the United States Census Bureau using tidyverse tools.

course

Performing Experiments in Python

IntermediateSkill Level
4 hours
67
Learn about experimental design, and how to explore your data to ask and answer meaningful questions.

course

Practicing Statistics Interview Questions in R

AdvancedSkill Level
4 hours
37
In this course, youll prepare for the most frequently covered statistical topics from distributions to hypothesis testing, regression models, and much more.

course

Programming with dplyr

IntermediateSkill Level
4 hours
80
Learn how to perform advanced dplyr transformations and incorporate dplyr and ggplot2 code in functions.

course

Case Study: Inventory Analysis in Tableau

IntermediateSkill Level
2 hours
42
Enhance your Tableau skills with this case study on inventory analysis. Analyze a dataset, create calculated fields, and create visualizations.

course

Case Studies in Statistical Thinking

IntermediateSkill Level
4 hours
38
Take vital steps towards mastery as you apply your statistical thinking skills to real-world data sets and extract actionable insights from them.

course

Pandas Joins for Spreadsheet Users

IntermediateSkill Level
4 hours
51
Learn how to effectively and efficiently join datasets in tabular format using the Python Pandas library.

course

Bayesian Modeling with RJAGS

AdvancedSkill Level
4 hours
24
In this course, youll learn how to implement more advanced Bayesian models using RJAGS.

course

Forecasting Product Demand in R

IntermediateSkill Level
4 hours
15
Learn how to identify important drivers of demand, look at seasonal effects, and predict demand for a hierarchy of products from a real world example.

course

Building Response Models in R

AdvancedSkill Level
4 hours
35
Learn to build simple models of market response to increase the effectiveness of your marketing plans.

course

Probability Puzzles in R

IntermediateSkill Level
4 hours
31
Learn strategies for answering probability questions in R by solving a variety of probability puzzles.

course

Data Manipulation in Julia

BeginnerSkill Level
4 hours
26
Master the essential skills of data manipulation in Julia. Learn how to inspect, transform, group, and visualize DataFrames using real-world datasets.

course

Mixture Models in R

IntermediateSkill Level
4 hours
13
Learn mixture models: a convenient and formal statistical framework for probabilistic clustering and classification.
See More

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Ready to apply your skills?

Projects allow you to apply your knowledge to a wide range of datasets to solve real-world problems in your browser

project

Analyzing Unicorn Companies

1 hour
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Use your SQL skills to find out how many companies reached a valuation of over $1 billion across different industries between 2019 and 2021!
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Frequently asked questions

Is data analysis easy to learn?

It’s different for everyone. Some people pick up data analysis very quickly, while others need a bit more time. The underlying theory and concepts are not hard to understand (or highly technical), but you’ll need to learn a few popular data analysis tools. 

This includes SQL and databases, a programming language such as Python or R, spreadsheets and Excel, and software such as Power BI or Tableau. 

It might sound like a lot, but each technology is easy to learn individually, especially when you choose data analysis courses from a dedicated online training provider like DataCamp.

Has AI changed the role or need for data analysts?

AI is indeed transforming the data analyst's role. Rather than replacing them, it has automated repetitive tasks, freeing analysts to focus on complex issues, interpret AI results, and strategize. Although AI aids in data analysis, human supervision for training and adjusting AI models remains crucial. Thus, AI is changing the analyst role but increased its importance.

Which data analysis course is the best?

We only release courses that meet our high quality standards, which is why DataCamp is known as a leading platform for learning data analysis! That being said, our Data Analyst with Python Career Track is one of our most popular, comprehensive course programs for acquiring the skills to become a data analyst from scratch.

How can I become a data analyst quickly?

To become a data analyst quickly, a structured learning path like DataCamp's Career Tracks is beneficial. For example, programs such as our Data Analyst with Python and Data Analyst with Power BI Tracks are designed to gradually upskill you in the various concepts, technologies and processes required to be a data analyst.

And importantly, becoming a data analyst requires dedication and consistency in learning, while embracing a positive attitude towards problem-solving. Applying your knowledge to real-world projects helps solidify concepts, and creating a data portfolio to showcase these projects can demonstrate your proficiency to potential employers.

See our 'How to become a data analyst' article for further guidance.

How can online courses help you learn data analytics?

DataCamp's courses provide a flexible and convenient way to learn data analytics at your own pace. Our data analytics courses, taught by industry experts, offer interactive exercises and practical projects that help you apply theoretical concepts to real-world scenarios.

Do I need a background in programming to start learning data analytics?

No, you don't need a programming background to start learning data analytics. Our beginner courses, such as Introduction to SQL and Analyzing Data in Tableau, are designed to accommodate beginners and gradually introduce programming concepts, if needed.

What jobs can you get with data analysis skills?

With data analysis skills in your technical tool kit, you have plenty of job options:

  • Data analyst
  • Database administrator
  • Systems analyst
  • Business intelligence
  • Digital marketer
  • Data scientist
  • Financial analyst
  • And many more!

Because the modern business world is data-driven, people with data analysis skills find it easy to get work in an eclectic mix of industries and sectors.

Are data analysis skills in demand?

Yes, data analysts are some of the most in-demand professionals worldwide. Data from the US Bureau of Labor Statistics suggest the number of jobs for analysts is expected to grow by 23% between 2021 and 2031.

How can I prove my data analysis skills to employers?

To prove your data analysis skills to employers, you can complete our industry recognized Data Analyst Certification. This certification showcases your data analysis knowledge using SQL and either Python or R.

What tools and software are commonly used in data analytics?

Common tools in data analytics include Excel, SQL, Python, R, Tableau, and Power BI. These tools help in data manipulation, analysis, and visualization.

Other technologies and topics

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