Data Analytics Courses

Data Analytics

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 UdemyBest Excel Courses on Udemy
Best MySQL Courses on UdemyBest 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 themUnderstanding the process of building presentation-ready dashboards using Excel
Understanding the process of analysis techniques for datasets in ExcelLearn how to use Excel functions as well as techniques for analysis
Understanding Pivot Tables and Pivot Charts for streamlining workflow in ExcelUnderstanding various effective design principles for creating and presenting data
Understanding the importance of Excel as a BI ToolUnderstanding Excel Data Model
Understanding GeoFlowLearn 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 ExcelLearn how to write powerful as well as dynamic Excel formulas from scratch
Understanding how to automate, streamline, and revolutionize workflow using ExcelLearn unique tips and techniques in Excel
Unlimited project files, quizzes, and homework exercisesLearn 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 librariesUnderstanding various methods as well as attributes for numerous pandas objects
Learn the process for manipulating 1D, 2D, and 3D data setsLearn 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 scientistLearn Statistical analysis, Python programming, Machine Learning, Deep Learning with TensorFlow, etc
Understanding the data science fieldLearn the process of pre-processing data
Learn the mathematics behind Machine LearningLearn how to code using Python and perform statistical analysis
Understanding linear and logistic regressions in PythonLearn the steps for clustering and factor analysis
Learn the ways for creating Machine Learning algorithms in PythonUnderstanding Deep Learning frameworks
Understanding deep neural networksLearn 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 toolsUnderstanding 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 techniquesUnderstanding 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 statisticsLearn how to use Microsoft Excel for performing statistical calculations
Understanding statistics for solving business problems in Microsoft ExcelLearn 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 DesignLearn the steps for creating Interactive Dashboards from Google Sheets Data
Learn how to analyze Google Sheets with the help of visualizations and reportsUnderstanding the process of calculating Year to Date, Month to Date, Week to Date
Learn how to share and collaborate with Reports and Dashboards of dataUnderstanding Key Metrics and KPIs; creating powerful Scorecards using them
Learn how to create time series graphs for Month to Date, Previous Month and moreLearn the steps for displaying comparison to previous periods
Learn appropriate filters for creating interactive dashboards, graphs and reportsUnderstanding 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 analysisLearn how to use suitable charts in Excel
Learn the processes for applying analysis techniques to datasets with ExcelUnderstanding the steps for manipulating and preparing datasets in Excel
Learn how to build dashboards in ExcelLearn 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 AnalyticsLearn how to import data sets
Learn how to clean as well as prepare data for analysisLearn how to manipulate pandas’ DataFrame
Learn how to summarise dataUnderstanding 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 programmingLearn how to use Jupyter Notebook Environment
Learn the processes for using the NumPy library for creating and manipulating arraysUnderstanding how to use the pandas module with Python for creating and structuring data
Understanding the process of working with various data formats within pythonLearn the process of performing data visualizations with the help of matplotlib
Understanding the seaborn modules with pythonBuild 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 examTransforming data streams with Kinesis
Storing big data with S3 and DynamoDBAWS Lambda and Glue ETL
Hadoop ecosystem with AWS using Elastic MapReduceMachine learning to massive data sets with Amazon ML, SageMaker, and deep learning
Big data analysis with Kinesis Analytics, Amazon Elasticsearch Service, Redshift, RDS, and AuroraBig 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 SourcesData Sets for Reporting within Excel
Transforming Raw Data with Power Query CalculationsPower Querys Powerful Toolset
Streamlining Data Work by Automating with Power Query StepsCreating 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 basicsBasics to SQL
Create, access, and drop databaseComplex SQL syntax
Llarge healthcare databases for practiceHealthcare 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 AnalystLatest data and business analysis tools and techniques
Python for statistics, causal inference, econometrics, segmentation, matching, and predictive analyticsWhat a Business Analyst does
Real datasets related to Moneyball, wine quality, Wikipedia searches, employee remote work satisfaction and moreData-driven decisions
Advanced skills in data analytics and statisticsCase studies to learn analytics
Expertise in data analysis and visualisation techniquesDeep 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 TablesAdvanced data analysis techniques
PivotTableFormatting a PivotTable
Advanced Sorting and Filtering in PivotTables3D Maps from a PivotTable
Updating data in a PivotTable and Pivot ChartAdvanced Sorting and Filtering in PivotTables
Dashboards with Power BICleaning, sorting and linking data from various sources
Importing CSV and Excel files into Power BI DesktopDAX
Card visual to create summary informationClustered column charts, maps, and trend graphs
SlicersPyhton – Basic data types, error debugging, IF-ELSE statements, installation
Python in the diverse ecosystem of programming languagesPythons built-in functions, function work and variables
First script in PythonStoring 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 skillsCode in SQL
Start using MySQLSQL databases
SQL best practicesTheoretical insights about relational databases
Real-life databaseBusiness intuition while solving tasks with big data
Data analytical toolsCreating a database from scratch
Relational database management theoryConstraints and relating data tables
Proficient MySQL Workbench userTop-notch coding techniques and best practices
Advanced topics in programming like SQL’s triggers, sequences, local and global variables, indexes and moreComplex 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 PythonCoding in Jupiter Notebooks
Core principles of programmingCreating variables
Integer, float, logical, string and other types in Pythonwhile() loop and a for() loop in Python
Installing packages in PythonLaw 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 analyticsDescriptive statistics and probability theory
Decision Trees and Decision ForestsNormal distribution, Poisson Distribution and more
Hypothesis testing, p-value, type I and type II errorLogistic 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 ExcelExcel data tools like Sorting, Filtering, Data validations and Data importing
Master Excel’s most popular lookup functionsPresentations using Bar charts, Scatter Plots, Histograms
Essential SQL commandsSQL tools like GROUP BY, JOINS and Subqueries
Sorting and filtering commands in SQLLinear Regression technique
Data collection and data preprocessing for Machine Learning Linear Regression problemInterpreting 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 HandbookData Fundamentals Handbook
Distinguishing factors between Data Analytics, Data Science and Data EngineeringData tools
How data moves from collection to analysisSteps 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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By Nikita Joshi

A creative advocate of multi-disciplinary learning ideology, Nikita believes that anything can be learned given proper interest and efforts. She completed her formal education in BSc Microbiology from the University of Delhi. Now proficiently dealing with content ideation and strategy, she's been a part of Coursevise since August 2023 working as a content writer Having worked with several other things during these two years, her primary fields of focus have been SEO, Google Analytics, Website Traffic, Copywriting, and PR Writing. Apart from all that work, Nikita likes to doodle and pen down her rhymes when she feels free.

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Reviewed by 11 users

    • 2 months ago

    Which is the best course on Udemy to learn Data analysis?

      • 2 months ago

      Hey Aradhya,”Beginner’s Guide to Data & Data Analytics, by SF Data School” would be the best course on Udemy to learn Data analysis. Please check it out

    • 2 months ago

    Any course is there to learn business data analytics on Udemy?

      • 2 months ago

      Hii Patil,”Complete Introduction to Business Data Analysis” would be best course to learn about business data analytics on Udemy.

    • 2 months ago

    What job roles can I get after learning Data Analytics?

      • 2 months ago

      After learning Data Analytics, you can get job roles in different industries. Some common job roles are Data Analyst, Business Analyst, Data Scientist, Data Engineer, and Database Administrator. In these roles, you will be collecting, analyzing, and interpreting data.

    • 2 months ago

    What does a Data Analyst do?

      • 2 months ago

      A Data Analyst collects, analyzes, and interprets data. These help organizations make informed decisions. A Data Analyst works with large datasets to look at trends, patterns, and insights to formulate business strategies.

    • 2 months ago

    What is the importance of Excel as a BI Tool?

      • 2 months ago

      Excel is important as a Business Intelligence (BI) tool because it’s widely used and easy to understand. It lets you organize and analyze data, create charts and graphs, and generate reports – all in one familiar interface. Also, it’s flexible, so you can customize it as per your needs.

    • 2 months ago

    What is the salary of a Data Analyst?

      • 2 months ago

      The salary of a Data Analyst can vary based on experience, location, and the company. On average, a beginner might earn around $50,000 to $70,000 per year, while more experienced professionals can make over $100,000 annually. It is important to remember that salaries can differ depending on where you work and your skills.

    • 2 months ago

    Hii Narayan, Data analytics courses in Udemy will teach you all the essential skills. Students can choose any course depending on their expertise level and requirements. In this regard, the courses will provide skills in data interpretation, statistical analysis, data visualization, and proficiency in tools like Python, R, SQL, and Tableau.

    • 2 months ago

    How can an Udemy course in Data Analytics help me grow in my career?

      • 2 months ago

      An Udemy course in Data Analytics can boost your career growth by providing you with all the necessary skills. Also, you will become proficient in interpreting complex datasets and deriving valuable insights by mastering data interpretation, statistical analysis, and visualization techniques. This can help you switch careers in fields such as business analysis, data science, consulting, etc.

    • 2 months ago

    Is there any prerequisite knowledge required to enroll in Data Analytics at Udemy?

      • 2 months ago

      No, there are no prerequisite knowledge requirements to enroll in Data Analytics courses at Udemy. These courses are for learners of various expertise levels (from beginners to advanced users). Hence, the courses provide comprehensive knowledge to help students develop proficiency in Data Analytics regardless of their experience.

    • 2 months ago

    Why do I need Pandas for Data Analysis?

      • 2 months ago

      Pandas is a powerful library in Python specifically designed for data analysis and analysis. It provides easy-to-use data structures and functions that help you to efficiently clean, transform, and analyze data. Moreover, Python serves as the programming language for utilizing Pandas and other data analysis libraries effectively. Hence, with Pandas and Python, you can handle various data formats, perform statistical analysis, visualize data, and derive meaningful insights.

    • 2 months ago

    What specific skills will I gain from this data analytics course?

      • 2 months ago

      Data analytics courses in Udemy will teach you all the essential skills. Students can choose any course depending on their expertise level and requirements. In this regard, the courses will provide skills in data interpretation, statistical analysis, data visualization, and proficiency in tools like Python, R, SQL, and Tableau.

    • 2 months ago

    Why Microsoft Excel is used in Data Analysis?

      • 2 months ago

      Microsoft Excel is used in data analysis for its user-friendly interface and its built-in functions and features. It helps users to organize, format, and visualize data quickly. Hence, it is ideal for data cleaning, sorting, filtering, and basic statistical analysis. Additionally, Excel also helps in creating charts, graphs, and pivot tables, which are used to visualize trends and patterns in the data.

    • 3 months ago

    Your article helped me a lot, is there any more related content? Thanks!

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