Explore Our Courses

Big Data Analytics with Google Colab and Apache Spark

14 Hours

Time Series Analysis with Google Colab

21 Hours

Google Gemini AI for Data Analysis

21 Hours

Introduction to dbt Cloud

21 Hours

AWS Glue Fundamentals

14 Hours

Data Analytics with Tableau, Python, R, and SQL

35 Hours

Advanced ArcGIS Pro for Spatial Analysis

35 Hours

IBM Planning Analytics (TM1)

21 Hours

Microsoft Certified: Data Scientist Associate Exam Preparation (DP-100)

21 Hours

Azure Synapse Analytics

14 Hours

ArcGIS Enterprise for Technical Support

14 Hours

Analytic Functions Fundamentals

21 Hours

Data Analysis with MongoDB Aggregation Framework

14 Hours

ArcGIS Fundamentals

14 Hours

ArcMap in ArcGIS

14 Hours

A Practical Introduction to Data Analysis and Big Data

35 Hours

Data Analytics With R

21 Hours

Data Analysis with Hive/HiveQL

7 Hours

Excel For Statistical Data Analysis

14 Hours

A Practical Introduction to Data Science

35 Hours

Data and Analytics - from the ground up

42 Hours

Data Analysis with Python, Pandas and Numpy

14 Hours

Talent Acquisition Analytics

14 Hours

Knowledge Discovery in Databases (KDD)

21 Hours

Apache Kylin: From Classic OLAP to Real-Time Data Warehouse

14 Hours

Datameer for Data Analysts

14 Hours

HR Analytics for Public Organisations

14 Hours

Dremio for Self-Service Data Analysis

21 Hours

IBM Cloud Pak for Data

14 Hours

Python for Excel

14 Hours

Data Analysis for Marketers

14 Hours

kdb+ and q: Analyze Time Series Data

21 Hours

Azure for Data Engineer

35 Hours

Apache Arrow for Data Analysis across Disparate Data Sources

14 Hours

Search and Analytics with Amazon OpenSearch

21 Hours

Python for Data Analysis

28 Hours

SQL For Data Science and Data Analysis

14 Hours

F# for Data Science

21 Hours

Embedding Projector: Visualizing Your Training Data

14 Hours

Scaling Data Analysis with Python and Dask

14 Hours

SQL Advanced level for Analysts

21 Hours

Apache Superset: Basics to Advanced

35 Hours

Data Analytics with R, Python and SQL

14 Hours

Data Analysis

14 Hours

Exploratory Data Analysis

7 Hours

Infomatica Data Quality for Analysts 10.2x

14 Hours

LibreOffice Calc for Data Analysis

14 Hours

ArcGIS for Spatial Analysis

14 Hours

ArcGIS Pro for Spatial Analysis

14 Hours

ArcGIS with Python Scripting

14 Hours

QGIS for Geographic Information System

21 Hours

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