Data Analytics Projects for Beginners | Exploratory Data Analysis | Projects for Data Analyst
Автор: SCALER
Загружено: 2021-11-30
Просмотров: 4600
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In this live session on "Data Analytics for Beginners", Bharani Akella will be using Python and R Programming languages to perform exploratory data analysis on some open-source datasets. Learn more about Scaler now: https://bit.ly/32MALvn
With the help of data analytics, we can find meaningful information from raw data and the best way to gain expertise in data analytics is to work on a lot of projects.
Data analytics helps individuals and organisations make sense of data. Data analysts typically analyse raw data for insights and trends. They use various tools and techniques to help organisations make decisions and succeed. Data analytics is a strategy-based science where raw data is analysed to detect trends, answer questions, or draw conclusions from a large batch of data.
Data analytics is not a difficult field to break into because it isn't highly academic, and you can learn the skills required along the way. This means that you will need to dedicate a couple of hours each week to learn these skills in order to make an effective career transition.Projects on data analysis provide the basis for performing subsequent analysis and processing of data.
Topics that will be covered in this live session:
EDA with R analysing iris dataset and Pokemon dataset
EDA with Python exploring covid data and IPL data
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