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  • Data Analytics

Results for "data analytics"

  • I

    IBM

    Introduction to Data Analytics

    Skills you'll gain: Data Storytelling, Data Wrangling, Data Presentation, Big Data, Interactive Data Visualization, Data Analysis, Statistical Visualization, Data Cleansing, Apache Hadoop, Statistical Analysis, Data Visualization, Data Import/Export, Apache Hive, Data Mart, Data Processing, Data Warehousing, Data Transformation, Apache Spark, Data Science, Microsoft Excel

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    4.8
    Rating, 4.8 out of 5 stars
    ·
    21K reviews

    Beginner · Course · 1 - 3 Months

  • Status: AI skills
    AI skills
    G

    Google

    Google Data Analytics

    Skills you'll gain: Data Storytelling, Rmarkdown, Data Visualization, Data Presentation, Data Ethics, Data Cleansing, Interactive Data Visualization, Data Validation, Ggplot2, R (Software), Sampling (Statistics), Spreadsheet Software, Data Analysis, Stakeholder Communications, LinkedIn, Object Oriented Programming (OOP), Data Literacy, Web Presence, Data Structures, Interviewing Skills

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    4.8
    Rating, 4.8 out of 5 stars
    ·
    181K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • G

    Google

    Foundations: Data, Data, Everywhere

    Skills you'll gain: Data Ethics, Data Analysis, Analytics, Data-Driven Decision-Making, Spreadsheet Software, Analytical Skills, Tableau Software, Data Sharing, Data Cleansing, Data Processing, Data Visualization Software, Data Visualization, SQL

    Coursera Plus

    Included with Coursera Plus

    4.8
    Rating, 4.8 out of 5 stars
    ·
    123K reviews

    Beginner · Course · 1 - 4 Weeks

  • G

    Google

    Google Advanced Data Analytics

    Skills you'll gain: Interactive Data Visualization, Statistics, Descriptive Statistics, Logistic Regression, Decision Tree Learning, Advanced Analytics, Probability & Statistics, Probability Distribution, Statistical Inference, Applied Machine Learning, Data-Driven Decision-Making, Supervised Learning, Workflow Management, Statistical Methods, Statistical Modeling, Data Cleansing, Data Structures, Interviewing Skills, NumPy, Professional Development

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    4.8
    Rating, 4.8 out of 5 stars
    ·
    12K reviews

    Advanced · Professional Certificate · 3 - 6 Months

  • Status: AI skills
    AI skills
    D

    DeepLearning.AI

    DeepLearning.AI Data Analytics

    Skills you'll gain: Data Storytelling, Web Scraping, Google Sheets, Data Visualization, Data Presentation, Statistical Visualization, Spreadsheet Software, Large Language Modeling, Tableau Software, Data Literacy, Dashboard, Pandas (Python Package), Time Series Analysis and Forecasting, Probability & Statistics, Extract, Transform, Load, Statistical Analysis, Statistics, Data Manipulation, Data Analysis, Descriptive Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    275 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • M

    Macquarie University

    Excel Skills for Data Analytics and Visualization

    Skills you'll gain: Pivot Tables And Charts, Data Storytelling, Power BI, Data Presentation, Microsoft Excel, Dashboard Creation, Data Visualization Software, Data Visualization, Interactive Data Visualization, Excel Formulas, Dashboard, Data Transformation, Spreadsheet Software, Excel Macros, Tree Maps, Data Analysis, Data Wrangling, Data Cleansing, Data Manipulation, Business Intelligence Software

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    4.8
    Rating, 4.8 out of 5 stars
    ·
    6.1K reviews

    Intermediate · Specialization · 3 - 6 Months

  • I

    IBM

    IBM Data Analytics with Excel and R

    Skills you'll gain: Data Storytelling, Data Wrangling, Exploratory Data Analysis, Database Design, Ggplot2, Data Presentation, Data Visualization Software, Data Visualization, Relational Databases, Statistical Visualization, Data Collection, Interactive Data Visualization, Predictive Modeling, Statistical Analysis, Microsoft Excel, Analytical Skills, R (Software), Excel Formulas, Data Cleansing, Data Manipulation

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    4.7
    Rating, 4.7 out of 5 stars
    ·
    32K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • S

    Simplilearn

    Data Analytics with Python

    Skills you'll gain: Matplotlib, NumPy, Python Programming, Data Presentation, Pandas (Python Package), Analytical Skills, Plot (Graphics), Data Analysis, Data Visualization Software, Analysis, Data-Driven Decision-Making, Scripting, Analytics, Numerical Analysis, Data Manipulation, Graphing, Product Automation, Data Processing, Programming Principles, Data Validation

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    4.9
    Rating, 4.9 out of 5 stars
    ·
    22 reviews

    Beginner · Course · 1 - 4 Weeks

  • M

    Meta

    Introduction to Data Analytics

    Skills you'll gain: Data Storytelling, Business Metrics, Key Performance Indicators (KPIs), Performance Metric, Data Cleansing, Data Modeling, Analytics, Data Analysis, Data Visualization, Exploratory Data Analysis, Data Quality, Data Manipulation, Generative AI, Data Collection, Data Management, Marketing

    Coursera Plus

    Included with Coursera Plus

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 3 Months

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  • G

    Google

    Introducing Data Analytics and Analytical Thinking

    Skills you'll gain: Analysis, Analytics, Data Infrastructure, Data Ethics

    Coursera Plus

    Included with Coursera Plus

    4.6
    Rating, 4.6 out of 5 stars
    ·
    52 reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Introduction to Data Analytics for Business

    Skills you'll gain: Data Governance, Data Management, Business Analytics, Analytics, Data Quality, Data Ethics, Data Analysis, Business Intelligence, Analytical Skills, Big Data, Information Systems, Data Storage Technologies, Databases, Organizational Structure, Data Access, Relational Databases, SQL, Data Storage, Data Integrity, Decision Intelligence

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    Included with Coursera Plus

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.2K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    M

    Microsoft

    Data Analytics and Machine Learning for Big Data

    Skills you'll gain: Apache Spark, Large Language Modeling, Applied Machine Learning, Model Training

    Coursera Plus

    Included with Coursera Plus

    Intermediate · Course · 1 - 3 Months

1234…834

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

  • Introduction to Data Analytics: IBM
  • Google Data Analytics: Google
  • Foundations: Data, Data, Everywhere: Google
  • Google Advanced Data Analytics: Google
  • DeepLearning.AI Data Analytics: DeepLearning.AI
  • Excel Skills for Data Analytics and Visualization: Macquarie University
  • IBM Data Analytics with Excel and R: IBM
  • Data Analytics with Python: Simplilearn
  • Introduction to Data Analytics: Meta
  • Introducing Data Analytics and Analytical Thinking: Google

Frequently Asked Questions about Data Analytics

Data analytics is the process of examining data sets to draw conclusions about the information they contain. It involves using various tools and techniques to analyze data, identify patterns, and make informed decisions. In today's data-driven world, data analytics is crucial for businesses and organizations as it helps them understand customer behavior, optimize operations, and drive strategic initiatives. By leveraging data analytics, companies can enhance their competitiveness and make evidence-based decisions that lead to better outcomes.‎

A career in data analytics can open doors to various job opportunities. Common roles include data analyst, business intelligence analyst, data scientist, and data engineer. These positions often involve interpreting complex data sets, creating visualizations, and providing actionable insights to stakeholders. Additionally, industries such as finance, healthcare, marketing, and technology are increasingly seeking professionals skilled in data analytics, making it a versatile and in-demand field.‎

To succeed in data analytics, you need a combination of technical and analytical skills. Key skills include proficiency in data manipulation tools like Excel, SQL, and programming languages such as Python or R. Understanding statistical analysis, data visualization techniques, and machine learning concepts is also beneficial. Furthermore, strong problem-solving abilities and critical thinking are essential for interpreting data effectively and communicating findings to non-technical audiences.‎

There are numerous online courses available for those interested in data analytics. Some of the best options include the Google Data Analytics Professional Certificate and the IBM Data Analytics with Excel and R Professional Certificate. These programs provide comprehensive training and practical experience, making them ideal for anyone looking to build a solid foundation in data analytics.‎

Yes. You can start learning data analytics on Coursera for free in two ways:

  1. Preview the first module of many data analytics courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in data analytics, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn data analytics, start by identifying your learning goals and the specific skills you want to acquire. You can begin with introductory courses that cover the basics of data analysis and gradually progress to more advanced topics. Engage with hands-on projects to apply what you learn in real-world scenarios. Additionally, joining online communities or forums can provide support and resources as you navigate your learning journey.‎

Data analytics courses typically cover a range of topics, including data collection and cleaning, exploratory data analysis, statistical methods, data visualization, and predictive modeling. Many courses also introduce tools and software commonly used in the industry, such as Excel, SQL, and programming languages like Python or R. By exploring these topics, learners can develop a well-rounded understanding of data analytics and its applications.‎

For training and upskilling employees in data analytics, programs like the Google Advanced Data Analytics Professional Certificate and the DeepLearning.AI Data Analytics Professional Certificate are excellent choices. These courses are designed to equip professionals with the necessary skills to analyze data effectively and make data-driven decisions, enhancing their contributions to their organizations.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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