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  • Introduction To Big Data Analytics

Results for "introduction to big data analytics"


  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Data Extract, Transform, and Load in Power BI

    Skills you'll gain: Extract, Transform, Load, Power BI, Data Transformation, Data Cleansing, Query Languages, Data Manipulation, Data Integration, Data Validation, Data Import/Export, Data Quality, Data Analysis, Data Modeling, Anomaly Detection, Data Storage

    4.5
    Rating, 4.5 out of 5 stars
    ·
    18 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    B

    Banco Interamericano de Desarrollo

    Data for Effective Policy Making

    Skills you'll gain: Data Ethics, Policy Development, Data-Driven Decision-Making, Data Analysis, Data Collection, Policy Analysis, Data Quality, Surveys, Program Evaluation, Research, Statistical Analysis, Research Design

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    Edureka

    Data Streaming and NLP with PySpark

    Skills you'll gain: PySpark, Data Pipelines, Apache Spark, Dashboard, Data Processing, Real Time Data, Data Visualization, Natural Language Processing, Distributed Computing, Data Transformation, Deep Learning, Performance Tuning

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    NumPy and Pandas Basics for Future Data Scientists

    Skills you'll gain: Debugging, Data Analysis, Data Preprocessing, Numerical Analysis, Critical Thinking

    4
    Rating, 4 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Statistics and Data Analysis with Excel, Part 1

    Skills you'll gain: Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Probability, Box Plots, Histogram, Probability Distribution, Scatter Plots, Microsoft Excel, Excel Formulas, Data Analysis, Bayesian Statistics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    39 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    S

    Scrimba

    Intro to Mistral AI

    Skills you'll gain: Vector Databases, Retrieval-Augmented Generation, LangChain, Embeddings, LLM Application, Tool Calling, Prompt Engineering, AI Workflows, Artificial Intelligence, Generative AI

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Data Analysts' Toolbox - Excel, Power BI, Python, & Tableau

    Skills you'll gain: Data Analysis Expressions (DAX), Power BI, Pivot Tables And Charts, Microsoft Excel, R Programming, Alteryx, Dashboard, Statistical Programming, Data Transformation, Tableau Software, Data Cleansing, Data Presentation, Data Visualization Software, Interactive Data Visualization, Debugging, Data Visualization, Automation, Python Programming, Data Structures, Statistical Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    28 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    From Likes to Leads: Interact with Customers Online

    Skills you'll gain: Social Media Marketing, Social Media Strategy, Social Media Management, Content Creation, Instagram, Digital Marketing, Digital Advertising, Customer Engagement, Brand Awareness, Marketing Analytics, Target Audience

    4.8
    Rating, 4.8 out of 5 stars
    ·
    4K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Building a Real-World Data Science Solution

    Skills you'll gain: AWS SageMaker, Exploratory Data Analysis, Feature Engineering, Dashboard, Interactive Data Visualization, Data Presentation, Model Evaluation, Data Visualization, Data Pipelines, Project Documentation, Solution Delivery, Amazon Web Services, Data Analysis, Data Integration, Technical Documentation, Business Intelligence, Cloud Infrastructure, Technical Communication, Automation, Project Management

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Tidy Messy Data using tidyr in R

    Skills you'll gain: Ggplot2, Data Cleansing, Tidyverse (R Package), Data Wrangling, Data Transformation, Data Visualization, R Programming, Data Manipulation, Data Analysis, Data Management, Pivot Tables And Charts

    4.6
    Rating, 4.6 out of 5 stars
    ·
    10 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Preview
    Preview
    N

    National Taiwan University

    商管統計資料分析二 (Analytics for Business and Management (II))

    Skills you'll gain: Regression Analysis, Statistical Modeling, Statistical Methods, Data Visualization, R Programming, Statistical Analysis, Case Studies, Business Analytics, Advanced Analytics, Analytics, Data Analysis, Statistical Hypothesis Testing, Variance Analysis

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Analyze Box Office Data with Seaborn and Python

    Skills you'll gain: Exploratory Data Analysis, Seaborn, Plotly, Data Visualization, Data Visualization Software, Interactive Data Visualization, Data Analysis, Python Programming, Predictive Modeling, Data Science, Jupyter, Cloud Applications

    4.5
    Rating, 4.5 out of 5 stars
    ·
    182 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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

  • Data Extract, Transform, and Load in Power BI: Microsoft
  • Data for Effective Policy Making: Banco Interamericano de Desarrollo
  • Data Streaming and NLP with PySpark: Edureka
  • NumPy and Pandas Basics for Future Data Scientists: University of Michigan
  • Statistics and Data Analysis with Excel, Part 1: University of Colorado Boulder
  • Intro to Mistral AI: Scrimba
  • Data Analysts' Toolbox - Excel, Power BI, Python, & Tableau: Packt
  • From Likes to Leads: Interact with Customers Online: Google
  • Building a Real-World Data Science Solution : Coursera
  • Tidy Messy Data using tidyr in R: Coursera

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