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  • Applied Data Science

Results for "applied data science"


  • Status: Free Trial
    Free Trial
    I

    IBM

    Applied Data Science

    Skills you'll gain: Data Storytelling, Dashboard, Plotly, Data Visualization Software, Web Scraping, Data Visualization, Exploratory Data Analysis, Interactive Data Visualization, Data Analysis, Data Import/Export, Model Evaluation, Data Manipulation, Data Transformation, Predictive Modeling, Matplotlib, Statistical Reporting, Data Science, Programming Principles, Python Programming, Machine Learning

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    61K reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Clemson University

    Applied Data Science

    Skills you'll gain: Dimensionality Reduction, Model Evaluation, Data Cleansing, Matplotlib, Regression Analysis, Unsupervised Learning, Data Science, Statistical Analysis, Anomaly Detection, Data Preprocessing, Statistical Methods, Data Analysis, Data Visualization Software, Pandas (Python Package), Exploratory Data Analysis, Machine Learning

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Applied Data Science with Python

    Skills you'll gain: Matplotlib, Network Analysis, Social Network Analysis, Feature Engineering, Data Visualization, Pandas (Python Package), Data Visualization Software, Interactive Data Visualization, Model Evaluation, Scientific Visualization, Applied Machine Learning, Supervised Learning, Text Mining, Visualization (Computer Graphics), Data Manipulation, NumPy, Graph Theory, Data Preprocessing, Natural Language Processing, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    34K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    More Applied Data Science with Python

    Skills you'll gain: Unsupervised Learning, Data Mining, Social Network Analysis, ChatGPT, Embeddings, Bayesian Network, Machine Learning Methods, Data Science, Supervised Learning, Generative AI, Machine Learning, Anomaly Detection, Data Preprocessing, Data Analysis, Recurrent Neural Networks (RNNs), Data Manipulation, Python Programming, Exploratory Data Analysis, Machine Learning Algorithms, Classification Algorithms

    4.4
    Rating, 4.4 out of 5 stars
    ·
    13 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Applied Data Science Capstone

    Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Plotly, Statistical Reporting, Predictive Modeling, Interactive Data Visualization, Data Visualization Software, Applied Machine Learning, Data Science, Data Analysis, Classification And Regression Tree (CART), Data-Driven Decision-Making, Pandas (Python Package), Data Wrangling, Data Collection, GitHub

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7.4K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    What is Data Science?

    Skills you'll gain: Data Literacy, Data Mining, Big Data, Cloud Computing, Data Analysis, Data Science, Digital Transformation, Data-Driven Decision-Making, Deep Learning, Machine Learning, Artificial Intelligence

    4.7
    Rating, 4.7 out of 5 stars
    ·
    78K reviews

    Beginner · Course · 1 - 4 Weeks

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    C

    Corporate Finance Institute

    Practical Data Science for Data Analysts

    Skills you'll gain: Classification Algorithms, Data Preprocessing, Feature Engineering, Model Evaluation, Data Import/Export, Matplotlib, Data Science, Regression Analysis, Financial Data, Data Analysis, Exploratory Data Analysis, Business Analytics, Data Cleansing, Pandas (Python Package), Machine Learning Algorithms, Statistical Visualization, Financial Analysis, Statistical Modeling, Statistical Analysis, Predictive Analytics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    30 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Introduction to Data Science in Python

    Skills you'll gain: Pandas (Python Package), Data Manipulation, NumPy, Data Cleansing, Data Transformation, Data Preprocessing, Data Science, Statistical Analysis, Pivot Tables And Charts, Data Analysis, Python Programming, Data Import/Export, Programming Principles

    4.5
    Rating, 4.5 out of 5 stars
    ·
    27K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Applied Statistics for Data Analytics

    Skills you'll gain: Probability & Statistics, Statistical Analysis, Statistics, Statistical Hypothesis Testing, Statistical Visualization, Descriptive Statistics, Data Analysis, Histogram, Probability Distribution, Correlation Analysis, Statistical Inference, Estimation, Simulation and Simulation Software, Sampling (Statistics), LLM Application, Spreadsheet Software

    4.9
    Rating, 4.9 out of 5 stars
    ·
    59 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Apply Data Analytics Using Python and Pandas

    Skills you'll gain: NumPy, Pandas (Python Package), Model Evaluation, Jupyter, Data Analysis, Applied Machine Learning, Analytical Skills, Data Manipulation, Matplotlib, Business Analytics, Exploratory Data Analysis, Data Visualization Software, Python Programming, Descriptive Statistics, Linear Algebra

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Analyze and Apply R for Data Analytics

    Skills you'll gain: Exploratory Data Analysis, Data Manipulation, Statistical Analysis, R (Software), Analytical Skills, Ggplot2, Data Storytelling, R Programming, Statistical Methods, Quantitative Research, Data Visualization Software, Data Science, Data Preprocessing, Probability & Statistics, Scatter Plots, Business Analytics, Statistical Visualization, Correlation Analysis, Descriptive Statistics, Data Analysis

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Apply Advanced Tableau Analytics to Real-World Data

    Skills you'll gain: Data Storytelling, Tableau Software, Dashboard, Market Data, Data-Driven Decision-Making, Data Presentation, Feature Engineering, Analytical Skills, Data Ethics, Data Visualization, Exploratory Data Analysis, Data Visualization Software, Case Studies, Business Intelligence, Business Analytics, Financial Market, Interactive Data Visualization, Data Analysis, Financial Data, Financial Analysis

    Beginner · Specialization · 1 - 3 Months

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

  • Applied Data Science: IBM
  • Applied Data Science: Clemson University
  • Applied Data Science with Python: University of Michigan
  • More Applied Data Science with Python: University of Michigan
  • Applied Data Science Capstone: IBM
  • What is Data Science? : IBM
  • Practical Data Science for Data Analysts: Corporate Finance Institute
  • Introduction to Data Science in Python: University of Michigan
  • Applied Statistics for Data Analytics: DeepLearning.AI
  • Apply Data Analytics Using Python and Pandas: EDUCBA

Frequently Asked Questions about Applied Data Science

Applied data science is the practical application of data analysis techniques to solve real-world problems. It combines statistical methods, programming skills, and domain knowledge to extract insights from data. This field is crucial because it enables organizations to make data-driven decisions, optimize operations, and enhance customer experiences. In today's data-rich environment, applied data science helps businesses leverage information effectively, leading to improved outcomes and competitive advantages.‎

Careers in applied data science are diverse and growing rapidly. You can pursue roles such as data analyst, data scientist, business intelligence analyst, and machine learning engineer. These positions often involve analyzing data sets, developing predictive models, and communicating findings to stakeholders. Additionally, industries such as healthcare, finance, and technology are increasingly seeking professionals with applied data science skills, making this a promising career path.‎

To succeed in applied data science, you should develop a mix of technical and analytical skills. Key skills include proficiency in programming languages such as Python or R, understanding of statistical analysis, and familiarity with data visualization tools. Additionally, knowledge of machine learning algorithms, data wrangling techniques, and database management (SQL) is essential. Soft skills like critical thinking, problem-solving, and effective communication are also important for conveying insights to non-technical stakeholders.‎

There are numerous online courses available for learning applied data science. Some of the best options include the Applied Data Science Specialization, which covers essential concepts and tools, and the Applied Data Science with Python Specialization, which focuses on Python programming for data analysis. For those interested in R, the Applied Data Science with R Specialization is an excellent choice.‎

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

  1. Preview the first module of many applied data science 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 applied data science, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn applied data science effectively, start by identifying your learning goals and preferred learning style. You can begin with introductory courses to build foundational knowledge, then progress to more specialized topics. Engage in hands-on projects to apply what you've learned, and consider joining online communities or forums to connect with others in the field. Consistent practice and real-world application will reinforce your skills and boost your confidence.‎

Applied data science courses typically cover a range of topics, including data collection and cleaning, exploratory data analysis, statistical modeling, machine learning, and data visualization. You may also learn about specific tools and programming languages, such as Python, R, and SQL. Additionally, courses often emphasize practical applications, helping you understand how to use data science techniques to solve real business problems.‎

For training and upskilling employees in applied data science, consider programs like the IBM Data Science Professional Certificate or the Python, SQL, Tableau for Data Science Professional Certificate. These courses provide comprehensive training that equips participants with the necessary skills to apply data science techniques effectively in their roles.‎

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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