With the rise of data analytics applications, it is crucial to learn how to leverage on data analytics to extract useful information from large amounts of data and integrate business expertise with knowledge of data, to derive actionable insights.
DurationWith the rise of data analytics applications, it is crucial to learn how to leverage on data analytics to extract useful information from large amounts of data and integrate business expertise with knowledge of data, to derive actionable insights.
Learn important rust concepts: python, data structures, functions and abstractions, python libraries, data manipulation, machine learning, SQL and more advanced topics such as natural language processing and data mining.
At Metacamp, we have empowered more than 1000 individuals to achieve their goals in the blockchain industry since 2020. Whether you want to land your dream job, start your own startup, or make a career change, we have the skills and resources to help you succeed.
This 3-day course really takes a deep dive into advanced level skills. Starting with how the languages of R and M can be used to extend the standard data extraction and transformation capabilities of Power BI.
This course is intended for anyone who wants to stretch their data analysis capabilities using Microsoft Excel starting with a block of data to a table of data, going beyond just functions and formulas, and picking up more advanced capabilities leading to data preparation
This course sets out the foundational skills and knowledge to introduce learners to data analysis using Excel functions and formulae and creation of data visualisation to generate business insights by identifying trends and patterns.
Microsoft Power BI is quickly becoming the world’s most powerful self-service business intelligence (BI) platform, and an absolutely essential tool for data professionals and beginners alike. Microsoft Power BI can help you get more insights from your data on your computer or in the cloud.
This module introduces Big Data, a term which relates to the management and analysis of sets of data that are typically too large for traditional data-processing software.
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