Udemy offers over 500 featured Udemy Data Analytics courses that cover various tools and techniques used in Data Analytics like Excel, Python, Data Visualisation, Data Science, R, Microsoft Power BI, Statistics and many more. There are courses for beginners, intermediate, and expert learners. Moreover, the majority of Udemy’s courses are beginner-friendly and easy to learn.
| Best Data Science Courses on Udemy | Best Excel Courses on Udemy |
|---|---|
| Best MySQL Courses on Udemy | Best Tableau Courses on Udemy |
The cost of Udemy’s Data Analytics courses ranges from USD 50 to USD 200. Currently, the Udemy Data Analytics courses are also available with a 30-day money-back guarantee.
The Data Science Course 2024: Complete Data Science Bootcamp is the most popular and best-selling Udemy course for Data Analysts. It has a user rating of 4.6/5 and a total number of 501,081 enrolled students. While Microsoft Excel Data Analysis – Learn How The Experts Use It is the highest-rated Data Analytics course on Udemy and is rated 4.9/5.
Microsoft Excel Data Analysis – Learn How The Experts Use It
‘Microsoft Excel Data Analysis’ is one of the most popular Udemy data analytics courses with a student enrollment of 15k. The modules include topics such as Excel as a BI Tool, Data Management, and Modelling, Advanced Excel and the Excel Data Model, PowerPivot, Data Discovery and Visualisation, and Data Acquisition.
One must have basic experience with Excel to understand the content better.
- Course Rating: 4.9/5
- Duration: 3 hours
- Benefits: 3 hours of on-demand video, 1 downloadable resource, Full lifetime access on mobile and TV, and a Certificate of completion
Learning Outcomes
| Understanding the principles of data analysis and identifying them | Understanding the process of building presentation-ready dashboards using Excel |
| Understanding the process of analysis techniques for datasets in Excel | Learn how to use Excel functions as well as techniques for analysis |
| Understanding Pivot Tables and Pivot Charts for streamlining workflow in Excel | Understanding various effective design principles for creating and presenting data |
| Understanding the importance of Excel as a BI Tool | Understanding Excel Data Model |
| Understanding GeoFlow | Learn how to work with External Databases |
| Learn how to integrate with Sharepoint | – |
Microsoft Excel – Advanced Excel Formulas & Functions
‘Microsoft Excel – Advanced Excel Formulas & Functions’ course includes a tutorial on how to write complex Excel formulas and functions through hands-on and contextual examples. It covers 75+ Excel formulas, along with tips & tricks to memorize and write Excel formulas. The module is divided into 11 sections that cover topics related to Excel formulas along with exercises, assignments, and practical examples.
One must have Microsoft Excel 2013+ or Office 365 and experience with Excel formulas to understand the content better.
- Course Rating: 4.7/5
- Duration: 9.5 hours
- Benefits: 9.5 hours of on-demand video, 12 articles, 4 downloadable resources, Full lifetime access on mobile and TV and a Certificate of completion
Learning Outcomes
| Understanding Excel | Learn how to write powerful as well as dynamic Excel formulas from scratch |
| Understanding how to automate, streamline, and revolutionize workflow using Excel | Learn unique tips and techniques in Excel |
| Unlimited project files, quizzes, and homework exercises | Learn how to write advanced functions; XLOOKUP & Dynamic Arrays as well |
Data Analysis with Pandas and Python
‘Data Analysis with Pandas and Python’ is one of the best-selling Udemy data analytics courses. The module has 15 sections covering areas such as installation and setup, series, data frames, working with text data, multi-index, groupby object, input & output in panda, visualization, options, and settings in panda. It also has a bonus Python crash course.
It is updated regularly to help one learn how to analyze data using Python’s powerful Panda library for all datasets. To join it, one must have basic experience with Microsoft Excel or another spreadsheet software and Python programming language along with a strong foundation of data types.
- Course Rating: 4.7/5
- Duration: 22 hours
- Benefits: 21.5 hours of on-demand video, 39 articles, 7 downloadable resources, 32 coding exercises, Full lifetime access on mobile and TV and a Certificate of completion
Learning Outcomes
| Learn how to perform a vast array of data operations such as grouping, pivoting, joining, etc using Python Panda libraries | Understanding various methods as well as attributes for numerous pandas objects |
| Learn the process for manipulating 1D, 2D, and 3D data sets | Learn the ways for resolving issues in broken/ incomplete data sets |
The Data Science Course 2024: Complete Data Science Bootcamp
‘The Data Science Course 2024: Complete Data Science Bootcamp’ is a popular Udemy Data Science Course that is also recommended for data analysts. The module is divided into 64 sections covering areas such as Data Science, Mathematics, Statistics, Pytorch, Tableau, Advanced Statistics, Machine Learning, Data Visualization, Deep Learning, etc.
It requires Microsoft Excel 2003/ 2010/ 2013/ 2016/ 365 and Anaconda.
- Course Rating: 4.6/5
- Duration: 30 hours
- Benefits: 29.5 hours of on-demand video, 90 articles, 515 downloadable resources, Full lifetime access on mobile and TV and a Certificate of completion
Learning Outcomes
| Understanding the entire toolbox for becoming a data scientist | Learn Statistical analysis, Python programming, Machine Learning, Deep Learning with TensorFlow, etc |
| Understanding the data science field | Learn the process of pre-processing data |
| Learn the mathematics behind Machine Learning | Learn how to code using Python and perform statistical analysis |
| Understanding linear and logistic regressions in Python | Learn the steps for clustering and factor analysis |
| Learn the ways for creating Machine Learning algorithms in Python | Understanding Deep Learning frameworks |
| Understanding deep neural networks | Learn how to improve Machine Learning algorithms |
Complete Introduction to Business Data Analysis
‘Complete Introduction to Business Data Analysis’ teaches about Data Analysis and how to turn data into useful information, insight, and intelligence. The module is divided into 13 sections and covers various areas such as preparing data for analysis, key metrics, comparison analysis, trend analysis, ranking analysis, interactive dashboard creation, variance analysis, contribution analysis, frequency analysis, correlation, and Pareto analysis.
The course is updated regularly providing practical skills applicable to the work environment. It requires Excel (2010 – Office 365), Excel Power Pivot and Power View and knowledge of working with data in Excel.
- Course Rating: 4.6/5
- Duration: 3.5 hours
- Benefits: 3.5 hours of on-demand video, 12 articles, 5 downloadable resources, Full lifetime access on mobile and TV and a Certificate of completion
Learning Outcomes
| Understanding how to transform data into insight & intelligence through analysis, techniques and tools | Understanding data analysis using drag and drop techniques |
| Understanding 8 techniques for Data Analysis using Excel (2010 – Office 365) | Unlimited access to course materials and practice activities |
| Understanding the right question for data using various techniques | Understanding data analysis and data presentation |
| Learn how to design and set up interactive dashboards | – |
Statistics for Data Analysis Using Excel 2016
‘Statistics for Data Analysis Using Excel 2016’ provides lessons on Descriptive and Inferential Statistics Theory using Excel plainly and simply. There are a total of 11 sections namely Basics of Statistics and Microsoft Excel; Descriptive Statistics; Data Visualization; Basic Probability Concepts; Probability Distributions; Hypothesis Testing; ANOVA – Analysis of Variance; Goodness of Fit and Contingency Table; Correlation and Linear Regression.
It requires a basic understanding of Microsoft Excel and It is also updated regularly along with business and Six Sigma examples. It is specifically aimed at Business Managers, Data Analysts, Six Sigma Green, and Black Belt professionals who use MS Excel for statistical analysis.
- Course Rating: 4.6/5
- Duration: 14.5 hours
- Benefits: 14.5 hours of on-demand video, 2 articles, 53 downloadable resources, Full lifetime access on mobile and TV and Certificate of completion
Learning Outcomes
| Understanding descriptive and inferential statistics | Learn how to use Microsoft Excel for performing statistical calculations |
| Understanding statistics for solving business problems in Microsoft Excel | Learn the ways for sorting out vast amounts of data and make fact-based decisions |
Complete Introduction to Google Data Studio 2024 Edition
‘Complete Introduction to Google Data Studio 2024 Edition’ is one of the best-selling Udemy data analytics courses. Divided into 12 sections, one will be taught about connecting Data Studio to Google Sheets, tables, methods of aggregation, pivot tables, visualization filters, custom calculations, time series graphs, publishing, and sharing interactive dashboards.
Offers high-quality video lectures that are simple and clearly explain the best techniques and tools for performing data analysis using Google Data Studio. To join, one needs a Google account, and access to Google Sheets and Google Data Storage.
- Course Rating: 4.6/5
- Duration: 5 hours
- Benefits: 5 hours of on-demand video, 9 articles, 5 downloadable resources, Full lifetime access on mobile and TV and a Certificate of completion
Learning Outcomes
| Learn Data Analysis and Dashboard Design | Learn the steps for creating Interactive Dashboards from Google Sheets Data |
| Learn how to analyze Google Sheets with the help of visualizations and reports | Understanding the process of calculating Year to Date, Month to Date, Week to Date |
| Learn how to share and collaborate with Reports and Dashboards of data | Understanding Key Metrics and KPIs; creating powerful Scorecards using them |
| Learn how to create time series graphs for Month to Date, Previous Month and more | Learn the steps for displaying comparison to previous periods |
| Learn appropriate filters for creating interactive dashboards, graphs and reports | Understanding visualizations including Column, Bar, Pie, Scatterplot |
Data Analysis Essentials Using Excel
‘Data Analysis Essentials Using Excel’ teaches extensively on the applications of the important concepts as well as techniques of data analysis using Excel. The module is divided into 15 sections covering topics such as Jumpstart, excel foundations, excel formulas & functions, text, time & date data formats, statistics in Excel, handling data, pivot tables, and introduction to charts.
To join, one must have basic experience using PC or MAC and MS Excel 2013+. In addition to the video lectures, it also provides 150+ downloadable resources and materials and lifetime access to the latest updates and materials.
- Course Rating: 4.5/5
- Duration: 12 hours
- Benefits: 12 hours of on-demand video, 8 articles, 172 downloadable resources, Full lifetime access on mobile and TV and Certificate of completion
Learning Outcomes
| Learn how to use crucial Excel functions as well as techniques for analysis | Learn how to use suitable charts in Excel |
| Learn the processes for applying analysis techniques to datasets with Excel | Understanding the steps for manipulating and preparing datasets in Excel |
| Learn how to build dashboards in Excel | Learn how to create personalized formulas in Excel |
| Learn the process for turning real-world data into business insights with Excel | – |
Python Data Analysis & Visualization Bootcamp
‘Python Data Analysis & Visualization Bootcamp’ is based on the concepts of financial analysis and covers topics such as Python Fundamentals, Pandas, NumPy, Matplotlib, Pandas, and Seaborn Data Visualization. The module is divided into 6 sections namely Setup and Jupyter Environment (Python 3); Data Manipulation with Numpy (Python 3); Data Manipulation with Panda (Python 3); Starting with File Operations (Python 3); Data Analysis and Methodologies – Learn to Perform Operations on Datasets (Py 3); and Data Visualization.
To join, one requires basic experience in Computer – Windows/ Linux/ Mac and basic knowledge of Mathematics. This will help in performing Data Analysis with ease.
- Course Rating: 4.5/5
- Duration: 8 hours
- Benefits: 8 hours of on-demand video, Full lifetime access on mobile and TV and a Certificate of completion
Learning Outcomes
| Learn how to perform Data Analytics | Learn how to import data sets |
| Learn how to clean as well as prepare data for analysis | Learn how to manipulate pandas’ DataFrame |
| Learn how to summarise data | Understanding the process for building machine learning models using scikit-learn |
| Learn how to build data pipelines | – |
Learning Python for Data Analysis and Visualization
‘Learning Python for Data Analysis and Visualization’ is a popular Udemy data analytics course. It teaches Python and its applications including analyzing, visualizing, and presenting data. It has 15 sections and covers areas such as Python programming, creating and managing arrays using Numpy with Python, creating and analyzing data sets using Panda, data visualization with Matplotlib, Machine Learning and SciKit Learn.
It requires basic maths and basic to intermediate Python Skills along with a computer.
- Course Rating: 4.3/5
- Duration: 21 hours
- Benefits: 21 hours of on-demand video, 3 articles, 4 downloadable resources, Full lifetime access on mobile and TV and a Certificate of completion
Learning Outcomes
| Learn Python programming | Learn how to use Jupyter Notebook Environment |
| Learn the processes for using the NumPy library for creating and manipulating arrays | Understanding how to use the pandas module with Python for creating and structuring data |
| Understanding the process of working with various data formats within python | Learn the process of performing data visualizations with the help of matplotlib |
| Understanding the seaborn modules with python | Build a portfolio consisting of various data analysis projects |
AWS Certified Data Analytics Specialty 2024 – Hands On!
AWS Certified Data Analytics Specialty 2024 covers a wide range of topics related to data analytics on AWS. It includes hands-on exercises, quizzes, and a practice exam to help students prepare for the AWS Certified Data Analytics Specialty Exam. This certification is ideal for students with prior AWS knowledge and industry experience. Students can confidently prepare for the exam and enhance their career prospects in data analytics on AWS.
- Course Rating: 4.7/5
- Duration: 16 hours 37 minutes
- Benefits: 16.5 hours of video, 10 articles, 1 practice test, mobile and TV access, certificate of completion
Learning Outcomes
| Passing the AWS Certified Data Analytics Specialty exam | Transforming data streams with Kinesis |
| Storing big data with S3 and DynamoDB | AWS Lambda and Glue ETL |
| Hadoop ecosystem with AWS using Elastic MapReduce | Machine learning to massive data sets with Amazon ML, SageMaker, and deep learning |
| Big data analysis with Kinesis Analytics, Amazon Elasticsearch Service, Redshift, RDS, and Aurora | Big data visualisation in the cloud using AWS QuickSight |
Microsoft Excel – Data Analytics Power Query and PivotTables
Microsoft Excel – Data Analytics Power Query and PivotTables offers over 6 hours of video content, downloadable exercise files, and access to the instructor for guidance, making it an excellent resource for anyone looking to streamline their data management and reporting tasks in Excel using Power Query. Students will learn to effortlessly find and clean data, filter, combine datasets, and format information for reporting purposes, all in a few easy steps.
- Course Rating: 4.7/5
- Duration: 5 hours 55 minutes
- Benefits: 6 hours of video, 1 downloadable resource, mobile and TV access, lifetime access, certificate of completion
Learning Outcomes
| Connections and External Data Sources | Data Sets for Reporting within Excel |
| Transforming Raw Data with Power Query Calculations | Power Querys Powerful Toolset |
| Streamlining Data Work by Automating with Power Query Steps | Creating Clean Data Interfaces with Power Query Parameters and Excel Variables |
Data Analytics: Intro to SQL using Healthcare Data
Data Analytics: Intro to SQL using Healthcare Data is designed for students of all backgrounds and industries, offering a thorough introduction to SQL with a focus on using Microsoft SQL Server Management Studio. While healthcare data is used as an example, It is relevant to anyone interested in learning SQL.
- Course Rating: 4.7/5
- Duration: 11 hours 37 minutes
- Benefits: 11.5 hours of video, 84 articles, 31 downloadable resources, mobile and TV access, certificate of completion
Learning Outcomes
| Microsoft SQL Server Management Studio basics | Basics to SQL |
| Create, access, and drop database | Complex SQL syntax |
| Llarge healthcare databases for practice | Healthcare Data |
| Electronic Medical Record Data | – |
Business Data Analytics & Intelligence with Python 2024
Business Data Analytics & Intelligence with Python 2024 offers a deep dive into data analysis and predictive analytics using tools like Python, Google Causal Impact, and more. It is designed for students from various backgrounds and industries, aiming to turn them into skilled Business Data Analysts. It covers everything from basic statistics with Python to advanced topics like econometrics, causal inference, and machine learning techniques like Random Forest and Facebook Prophet. Students will gain practical skills in data analysis, enabling them to make informed decisions and predictions based on real-world data.
- Course Rating: 4.7/5
- Duration: 16 hours 17 minutes
- Benefits: 16 hours of video, 11 articles, mobile and TV access, lifetime access, certificate of completion
Learning Outcomes
| Skills to become a professional Business Analyst | Latest data and business analysis tools and techniques |
| Python for statistics, causal inference, econometrics, segmentation, matching, and predictive analytics | What a Business Analyst does |
| Real datasets related to Moneyball, wine quality, Wikipedia searches, employee remote work satisfaction and more | Data-driven decisions |
| Advanced skills in data analytics and statistics | Case studies to learn analytics |
| Expertise in data analysis and visualisation techniques | Deep understanding of business analysis methodologies |
| Key concepts and methods of business analytics | – |
Data Analysts Toolbox: Excel, Python, Power BI, PivotTables
Data Analysts Toolbox: Excel, Python, Power BI, PivotTables is designed to equip intermediate Excel users with valuable skills in data analysis using three essential tools: Excel, Python and Power BI. The Introduction to Python course teaches fundamental concepts like data types, functions, variables, and more. Advanced PivotTables delves into Excel’s PivotTable capabilities. Power Pivot, Power Query and DAX explore advanced Excel functionalities for data modeling and analysis. Finally, the Power BI part introduces the powerful data visualization tool, teaching users how to import data, create relationships, use the DAX function and design impactful reports.
- Course Rating: 4.6/5
- Duration: 29 hours 12 minutes
- Benefits: 29 hours of video, 13 articles, 12 downloadable resources, mobile and TV access, lifetime access, certificate of completion
Learning Outcomes
| Dashboards using Pivot Tables | Advanced data analysis techniques |
| PivotTable | Formatting a PivotTable |
| Advanced Sorting and Filtering in PivotTables | 3D Maps from a PivotTable |
| Updating data in a PivotTable and Pivot Chart | Advanced Sorting and Filtering in PivotTables |
| Dashboards with Power BI | Cleaning, sorting and linking data from various sources |
| Importing CSV and Excel files into Power BI Desktop | DAX |
| Card visual to create summary information | Clustered column charts, maps, and trend graphs |
| Slicers | Pyhton – Basic data types, error debugging, IF-ELSE statements, installation |
| Python in the diverse ecosystem of programming languages | Pythons built-in functions, function work and variables |
| First script in Python | Storing complex data |
SQL – MySQL for Data Analytics and Business Intelligence
SQL – MySQL for Data Analytics and Business Intelligence offers a comprehensive, easy-to-understand, and practical approach to SQL, covering various topics and using MySQL, the popular database management system. It provides an interactive learning experience that prepares students for real-world database work. As data continues to grow in importance, SQL skills not only promise higher income potential but also offer a path to a future-proof profession and improved analytical reasoning abilities.
- Course Rating: 4.6/5
- Duration: 11 hours 56 minutes
- Benefits: 11 hours of video, 180 articles, 96 downloadable resources, mobile and TV access, certificate of completion
Learning Outcomes
| In-demand SQL skills | Code in SQL |
| Start using MySQL | SQL databases |
| SQL best practices | Theoretical insights about relational databases |
| Real-life database | Business intuition while solving tasks with big data |
| Data analytical tools | Creating a database from scratch |
| Relational database management theory | Constraints and relating data tables |
| Proficient MySQL Workbench user | Top-notch coding techniques and best practices |
| Advanced topics in programming like SQL’s triggers, sequences, local and global variables, indexes and more | Complex SQL joins |
| Query from database | – |
Python A-Z™: Python For Data Science With Real Exercises!
Python A-Z™ is designed to be beginner-friendly and offers a step-by-step learning experience. It progressively builds on the knowledge in each tutorial, allowing students to grasp new concepts easily and immediately apply them through real-life examples. It covers core programming principles, variable creation, data visualization using Seaborn and creating various types of plots like histograms and violin plots. Python A-Z™ provides a supportive environment for students of all skill levels to succeed.
- Course Rating: 4.6/5
- Duration: 11 hours 7 minutes
- Benefits: 11 hours of video, 4 articles, mobile and TV access, certificate of completion
Learning Outcomes
| Program in Python | Coding in Jupiter Notebooks |
| Core principles of programming | Creating variables |
| Integer, float, logical, string and other types in Python | while() loop and a for() loop in Python |
| Installing packages in Python | Law of Large Numbers |
Statistics & Mathematics for Data Science & Data Analytics
Statistics & Mathematics for Data Science & Data Analytics is tailored for students aspiring to pursue a career in data analytics. It offers practical knowledge essential for mastering statistics and probability theory, which are crucial in these fields. Students will systematically gain expertise in statistics, probability, descriptive statistics, hypothesis testing, regression analysis and advanced techniques like logistics regressions and decision trees. This comprehensive training equips students with the essential statistical knowledge needed to excel in data science or data analysis careers.
- Course Rating: 4.6/5
- Duration: 11 hours 24 minutes
- Benefits: 11 hours of video, 4 articles, mobile and TV access, certificate of completion
Learning Outcomes
| Fundamentals of statistics for data science & data analytics | Descriptive statistics and probability theory |
| Decision Trees and Decision Forests | Normal distribution, Poisson Distribution and more |
| Hypothesis testing, p-value, type I and type II error | Logistic Regressions, Multiple Linear Regression, Regression Trees |
| Correlation, R-Square, RMSE, MAE, coefficient of determination and more | – |
Data Analyst Skillpath: Zero to Hero in Excel, SQL & Python
Data Analyst Skillpath is designed to equip students with the skills needed to excel in the fields of data science and data analytics. It covers essential topics such as data-driven decision-making, data visualisation, SQL and predictive analytics like linear regression. With a focus on practical applications, It enables students to master Excel functions, SQL tools, and data analysis models, making it suitable for students, business managers and executives looking to enhance their data analytics knowledge.
- Course Rating: 4.5/5
- Duration: 22 hours 39 minutes
- Benefits: 22.5 hours of video, 9 articles, 83 downloadable resources, 5 coding exercises, mobile and TV access, certificate of completion
Learning Outcomes
| A Beginner’s Guide to Microsoft Excel | Excel data tools like Sorting, Filtering, Data validations and Data importing |
| Master Excel’s most popular lookup functions | Presentations using Bar charts, Scatter Plots, Histograms |
| Essential SQL commands | SQL tools like GROUP BY, JOINS and Subqueries |
| Sorting and filtering commands in SQL | Linear Regression technique |
| Data collection and data preprocessing for Machine Learning Linear Regression problem | Interpreting the result of Linear Regression model and translating them into actionable insight |
Beginner’s Guide to Data & Data Analytics, by SF Data School
- Course Rating: 4.5/5
- Duration: 1 hour 32 minutes
- Benefits: 1.5 hours of video, 1 article, assignments, 5 coding exercises, mobile and TV access, certificate of completion
Learning Outcomes
| Data Fundamentals Handbook | Data Fundamentals Handbook |
| Distinguishing factors between Data Analytics, Data Science and Data Engineering | Data tools |
| How data moves from collection to analysis | Steps to become a practitioner of data analytics |
Best Udemy Data Analytics Courses: FAQs
Ques. Which course is best for a data analyst on Udemy?
Ans. As per total student enrollments, The Data Science Course 2024: Complete Data Science Bootcamp is the best udemy data analytics course with over 4.76 lakh student enrollments, 1.04 lakh student reviews, and a 4.6-star rating out of 5. Visualizing Data Using Stata is the highest-rated udemy data analytics course with a 5-star rating. Check out the complete article to learn more about the 10 best udemy data analytics courses in 2024.
Ques. Which online course is best for data analysts?
Ans. Among the popular platforms i.e. Udemy, Coursera, Simplilearn, edX; Udemy has the most popular data analyst courses. The best udemy courses for data analytics include “The Data Science Course 2024: Complete Data Science Bootcamp” and “Visualizing Data Using Stata” as per total student enrollments and ratings.
Ques. What are the best data science courses on Udemy?
Ans. Some of the best data science courses on Udemy are as follows:
- The Data Science Course 2024: Complete Data Science Bootcamp
- Complete Data Science Training with Python for Data Analysis
- Ultimate Python Bootcamp For Data Science & Machine Learning
- Machine Learning A-Z™: Hands-On Python & R In Data Science, etc.
Ques. What are the best online courses for data analytics for beginners?
Ans. Udemy is one of the prominent platforms which offers Data Analysis Courses. Some of the best beginners courses are as follows-
- Data Analysis Essentials using Excel
- Python Data Analysis & Visualization Bootcamp
- R Level 1 – Data Analytics with R
- TIBCO Cloud Spotfire Data Visualization and Analytics
Ques. How do I choose the right data analytics course on Udemy?
Ans. To choose the right data analytics course on udemy, consider your current skill level, your specific goals (e.g., data analysis, data visualization, machine learning), and your budget. Read course descriptions, reviews and syllabi to ensure they align with your objectives.
Ques. Are udemy data analytics courses updated according to industry trends?
Ans. Udemy courses are created and maintained by instructors, and their content may vary in terms of up-to-dateness. Check for recent reviews and course updates to ensure that the course you choose covers current data analytics trends and tools.
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