डेटा, AI, और क्लाउड पाठ्यक्रम

• मध्यमकौशल स्तर
• 4.8+
• 1.1K

Transform almost any dataset into a tidy format to make analysis easier.

• बुनियादीकौशल स्तर
• 4.8+
• 1K

Master data manipulation and analysis techniques such as CASE statements, subqueries, and CTEs in Snowflake.

• मध्यमकौशल स्तर
• 4.8+
• 829

Master time series data manipulation in R, including importing, summarizing and subsetting, with zoo, lubridate and xts.

• बुनियादीकौशल स्तर
• 4.9+
• 823

Learn how to create pivot tables and quickly organize thousands of data points with just a few clicks.

• बुनियादीकौशल स्तर
• 4.8+
• 774

Unlock Alteryx for data transformation, mastering Crosstab, Transpose, and workflow optimization in this interactive course.

• मध्यमकौशल स्तर
• 4.8+
• 743

In this course, youll learn the basics of relational databases and how to interact with them.

• बुनियादीकौशल स्तर
• 4.8+
• 718

Orchestrate data using unions, joins, parsing, and performance optimization in Alteryx.

• मध्यमकौशल स्तर
• 4.8+
• 679

Learn the fundamentals of exploring, manipulating, and measuring biomedical image data.

• मध्यमकौशल स्तर
• 4.8+
• 669

This course will show you how to integrate spatial data into your Python Data Science workflow.

• मध्यमकौशल स्तर
• 4.8+
• 645

Analyze text data in R using the tidy framework.

• बुनियादीकौशल स्तर
• 4.9+
• 627

Build SQL skills by writing AI prompts that generate queries for sorting, grouping, filtering, and categorizing data.

• बुनियादीकौशल स्तर
• 4.8+
• 627

Sharpen your skills in Oracle SQL including SQL basics, aggregating, combining, and customizing data.

• मध्यमकौशल स्तर
• 4.9+
• 619

Learn Snowflake data types and functions to manipulate text, numbers, and dates while building custom functions and pivot tables.

• मध्यमकौशल स्तर
• 4.9+
• 612

Discover Snowflake window functions to solve complex data problems with rankings, partitions, and rolling calculations.

• बुनियादीकौशल स्तर
• 4.8+
• 598

Learn how to efficiently transform, clean, and analyze data using Polars, a Python library for fast data manipulation.

• बुनियादीकौशल स्तर
• 4.8+
• 571

Help a fictional company in this interactive Power BI case study. You’ll use Power Query, DAX, and dashboards to identify the most in-demand data jobs!

• बुनियादीकौशल स्तर
• 4.7+
• 480

Master core concepts about data manipulation such as filtering, selecting and calculating groupwise statistics using data.table.

• मध्यमकौशल स्तर
• 4.9+
• 471

Learn powerful command-line skills to download, process, and transform data, including machine learning pipeline.

• उन्नतकौशल स्तर
• 4.8+
• 460

Learn how to manipulate data and create machine learning feature sets in Spark using SQL in Python.

• उन्नतकौशल स्तर
• 4.8+
• 458

Learn the gritty details that data scientists are spending 70-80% of their time on; data wrangling and feature engineering.

• मध्यमकौशल स्तर
• 4.8+
• 434

Explore ways to work with date and time data in SQL Server for time series analysis

• मध्यमकौशल स्तर
• 4.8+
• 412

Learn how to identify, analyze, remove and impute missing data in Python.

• मध्यमकौशल स्तर
• 4.9+
• 387

Learn the most important functions for manipulating, processing, and transforming data in SQL Server.

• मध्यमकौशल स्तर
• 4.8+
• 363

Learn how to use Python scripts in Power BI for data prep, visualizations, and calculating correlation coefficients.

• बुनियादीकौशल स्तर
• 4.9+
• 345

Build dynamic Sigma calculations to explore data, automate logic, and uncover trends with practical business examples.

• उन्नतकौशल स्तर
• 4.8+
• 332

Learn how to load, transform, and transcribe speech from raw audio files in Python.

• बुनियादीकौशल स्तर
• 4.8+
• 328

Get ready to categorize! In this course, you will work with non-numerical data, such as job titles or survey responses, using the Tidyverse landscape.

• मध्यमकौशल स्तर
• 4.9+
• 311

Learn how to segment customers in Python.

• मध्यमकौशल स्तर
• 4.9+
• 240

This course will show you how to combine and merge datasets with data.table.

• मध्यमकौशल स्तर
• 4.8+
• 239

Learn how to import, clean and manipulate IoT data in Python to make it ready for machine learning.