Data Analysis

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Python for Data Science (Coursera)

Understanding the importance of Python as a data science tool is crucial for anyone aspiring to leverage data effectively. This course is designed to equip you with the essential skills and knowledge needed to thrive in the field of data science. This course teaches the vital skills to [...]

Splunk Administration and Advanced Topics (Coursera)

May 13th 2024
Splunk Administration and Advanced Topics (Coursera)
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This course provides a comprehensive understanding of Splunk administration, focusing on managing and maintaining the Splunk platform for efficient data collection, indexing, and analysis. The course includes main topics such as user authentication, role-based access control, data input configuration, system health monitoring, and resource management to optimize Splunk's performance [...]

Introduction to Information Technology and AWS Cloud (Coursera)

May 13th 2024
Introduction to Information Technology and AWS Cloud (Coursera)
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Technology is omnipresent, but how did we get here? And what does the future hold for a world that's increasingly connected, mobile and data-rich? This course is intended to give learners enough technical context to understand how to build solutions in the cloud starting from zero technical knowledge. [...]
May 13th 2024
Course Auditing
46.00 EUR/month

Data Visualization with Tableau (Coursera)

Dive deep into the compelling world of data visualization with this beginner-friendly course, illuminating the art of transforming data into insightful visuals using Tableau. Arranged in four comprehensive modules, this course outlines a clear learning trajectory, transitioning from foundational concepts to advanced visualization [...]

Data Analysis Using SQL (Coursera)

In this comprehensive course, you will embark on a transformative journey to master the art of analyzing data through SQL. SQL is a powerful tool used for managing and manipulating data in relational databases. Throughout this course, you will acquire the essential skills to efficiently extract relevant data from [...]

Insights of Power BI (Coursera)

Today's business world is becoming increasingly data-driven. Small and large businesses use data to make decisions about sales, hiring, goals, and all areas they have data for. While most businesses have access to data of one type or another, it can be intimidating for an average business user to [...]

Python Data Analytics (Coursera)

May 13th 2024
Python Data Analytics (Coursera)
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This course introduces the use of the Python programming language to manipulate datasets as an alternative to spreadsheets. You will follow the OSEMN framework of data analysis to pull, clean, manipulate, and interpret data all while learning foundational programming principles and basic Python functions. You will be introduced to [...]

Data Analysis with Spreadsheets and SQL (Coursera)

May 13th 2024
Data Analysis with Spreadsheets and SQL (Coursera)
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This course introduces you to how to use spreadsheets and SQL queries to analyze and extract data. You will learn how to practically apply the OSEMN data analysis framework and spreadsheet functions to clean data, calculate summary statistics, evaluate correlations, and more. You’ll also dive into common data visualization [...]

Data Analysis with Python Project (Coursera)

The "Data Analysis Project" course empowers students to apply their knowledge and skills gained in this specialization to conduct a real-life data analysis project of their interest. Participants will explore various directions in data analysis, including supervised and unsupervised learning, regression, clustering, dimension reduction, association rules, and outlier detection. [...]

Perform exploratory data analysis on retail data with Python (Coursera)

In this project, you'll serve as a data analyst at an online retail company helping interpret real-world data to help make key business decisions. Your task is to explore and analyze this dataset to gain insights into the store's sales trends, customer behavior, and popular products.