course
Introduction to SQL
- De bazăNivel de calificare
- 4.8+
- 63.3K
Learn how to create and query relational databases using SQL in just two hours.
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Urmărește videoclipuri scurte conduse de instructori experți și apoi exersează ceea ce ai învățat cu exerciții interactive în browser.
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Learn how to create and query relational databases using SQL in just two hours.
Manipularea datelor
course
Accompanied at every step with hands-on practice queries, this course teaches you everything you need to know to analyze data using your own SQL code today!
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Master the Excel basics and learn to use this spreadsheet tool to conduct impactful analysis.
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Level up your SQL knowledge and learn to join tables together, apply relational set theory, and work with subqueries.
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Learn how to import and clean data, calculate statistics, and create visualizations with pandas.
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Enhance your Power BI knowledge, by learning the fundamentals of Data Analysis Expressions (DAX) such as calculated columns, tables, and measures.
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Master the complex SQL queries necessary to answer a wide variety of data science questions and prepare robust data sets for analysis in PostgreSQL.
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Learn to combine data from multiple tables by joining data together using pandas.
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Learn the key concepts of data modeling on Power BI.
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You’ll learn how to (un)pivot, transpose, append and join tables. Gain power with custom columns, M language, and the Advanced Editor.
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Learn the most important PostgreSQL functions for manipulating, processing, and transforming data.
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Build Tidyverse skills by learning how to transform and manipulate data with dplyr.
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Data Analysis Expressions (DAX) allow you to take your Power BI skills to the next level by writing custom functions.
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Master data modeling in Power BI.
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Discover a wide range of DAX calculations and learn how to use them in Microsoft Power BI.
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Apply your skills to import, analyze and visualize Human Resources (HR) data using Power BI.
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Discover the different ways you can enhance your Power BI data importing skills.
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Enhance your reports with trend analysis techniques such as time series, decomposition trees, and key influencers.
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Learn how to deploy and maintain assets in Power BI. You’ll get to grips with the Power BI Service interface and key elements in it like workspaces.
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Master your skills in NumPy by learning how to create, sort, filter, and update arrays using NYC’s tree census.
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Boost your Excel skills with advanced referencing, lookup, and database functions using practical exercises.
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Learn to combine data across multiple tables to answer more complex questions with dplyr.
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Learn to use Google Sheets to clean, analyze, and draw insights from data. Discover how to sort, filter, and use VLOOKUP to combine data.
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Master Excel basics quickly: navigate spreadsheets, apply formulas, analyze data, and create your first charts!
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Learn SQL Querying with AI by writing prompts, generating queries, and analyzing data to solve real-world problems.
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In this course youll learn the basics of working with time series data.
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Learn how to manipulate and visualize categorical data using pandas and seaborn.
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Master Power Pivot in Excel to help import data, create relationships, and utilize DAX. Build dynamic dashboards to uncover actionable insights.
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Master data manipulation and analysis techniques such as CASE statements, subqueries, and CTEs in Snowflake.
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Reshape DataFrames from a wide to long format, stack and unstack rows and columns, and wrangle multi-index DataFrames.
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