Data Protection Courses

Build Data Lakes and Data Warehouses on Google Cloud

2932 ratings at Coursera

Build data lakes, warehouses, and lakehouses on Google Cloud: compare storage use cases and work with Cloud Storage, open formats, BigQuery, orchestration, and data governance.

• Coursera
• 7 weeks, 1 hour a week
• Self-Paced
• Paid Course

Career Certificate

Mathematics for Machine Learning and Data Science

3256 ratings at Coursera

Learn the linear algebra, calculus, and probability and statistics behind machine learning, applying each concept through Python lab exercises and easy-to-follow visualizations.

• Coursera
• 12 weeks, 5 hours a week
• Self-Paced
• Paid Course
• 3 courses

Introduction to Data Engineering

3712 ratings at Coursera

This course introduces you to the core concepts, processes, and tools you need to know in order to get a foundational knowledge of data engineering.

• Coursera
• 4 weeks, 4 hours a week
• Self-Paced
• Paid Course

Foundations of Data Science

4053 ratings at Coursera

Explore what data professionals actually do: data science history, career paths and tools, the PACE project workflow, and communicating findings to teammates and stakeholders.

• Coursera
• 5 weeks, 4 hours a week
• Self-Paced
• Paid Course

Career Certificate

Data Engineering, Big Data, and Machine Learning on GCP

4415 ratings at Coursera

Entwickle Datenverarbeitungssysteme auf der Google Cloud Platform, erstelle Batch- und Streaming-Pipelines mit Dataflow, analysiere BigQuery-Datasets und trainiere TensorFlow-Modelle mit Cloud ML.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 4 courses

Career Certificate

Data Engineering, Big Data, and Machine Learning on GCP

4416 ratings at Coursera

Praxisnaher Aufbau von End-to-End-Datenpipelines für Batch- und Streaming-Verarbeitung auf der Google Cloud, ergänzt durch Big-Data-Analysen und maschinelles Lernen.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 4 courses

University of London;  IBM Career Certificate

Data Science Foundations

118010 ratings at Coursera

Learn data science foundations: program in Python, apply statistics and clustering, design algorithms and flowcharts, and predict bicycle rentals in a capstone using IBM tools.

• Coursera
• 12 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 8 courses

Data Visualization and Dashboards with Excel and Cognos

4530 ratings at Coursera

Build charts and interactive dashboards without code: line, pie, treemap, scatter and map charts in Excel, PivotCharts, and dashboards in IBM Cognos Analytics.

• Coursera
• 4 weeks, 4 hours a week
• Self-Paced
• Paid Course

Coursera

Introduction to Data Analysis using Microsoft Excel

4781 ratings at Coursera

Analyze sample company sales data in Excel: sort and filter records, apply IF and VLOOKUP functions, and build PivotTables to summarize and compare.

• Coursera
• 1 hour 37 minutes
• Self-Paced
• Paid Course

Python Project for Data Science

4926 ratings at Coursera

This mini-course is intended to for you to demonstrate foundational Python skills for working with data. The completion of this course involves working on a hands-on project where you will develop a simple dashboard using Python.

• Coursera
• 2 weeks, 4 hours a week
• Self-Paced
• Paid Course

Career Certificate

Preparing for Google Cloud Certification: Cloud Data Engr

4951 ratings at Coursera

Build data lakes, data warehouses, and batch and streaming pipelines on Google Cloud, add smart analytics and machine learning, and prepare for the Professional Data Engineer exam.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 5 courses

Career Certificate

Silicon Photonics Design, Fabrication and Data Analysis

26 ratings at edX

Design your own silicon photonics chip. The first online course to include photonics fabrication, experimentation, and data analysis.

• edX
• 6 weeks, 3-25 hours a week
• Self-Paced
• $495.00

Preparing Data for Analysis with Microsoft Excel

5709 ratings at Coursera

Learn to enter, format, sort and filter Excel data, write formulas, and clean text with date and logical functions like IF and IFS for analysis.

• Coursera
• 4 weeks, 5 hours a week
• Self-Paced
• Paid Course

Career Certificate

Introduction to Data Science

102385 ratings at Coursera

Learn what data scientists do and practice with Jupyter Notebooks, RStudio, GitHub and SQL, applying a data science methodology to real data sets in hands-on labs.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 4 courses

Software Construction: Data Abstraction

5 ratings at edX

Learn powerful data abstraction and decomposition techniques to build large, complex programs.

• edX
• 6 weeks, 8-10 hours a week
• Self-Paced
• Free Online Course (Audit)