Data Science is a field in computer science that uses computer programming, statistics, mathematics to clean, visualize, extract and predict information from raw data.
Data science is about finding patterns in data through analysis and make future predictions that can solve problems.
- Better decisions
- Predictive analysis (What can happen in the nearest future)
- Pattern discoveries i.e whether good or bad patterns
- Capturing: Collecting raw data
- Preparing: Cleaning and transforming the data
- Analyzing: Visualizing the data for better insight and communication
- Modelling: Building machine learning algorithms to make predictions
- Communicate: Share insights using data visualization for communication to make better decisions
Data analytics studies data to share insight to guide decisions while Data science creates algorithms that predict future outcome
I chose Data Science as a path in computer Science because i want to know how a machine learns and is able to predict information of users. I also want to use my knowledge in data science for my final year project in Bingham University, Karu. In my personal opinion i feel it is the best use in real world cases and it is widely used in various economic sectors across the world. Which is also a main reason for me to take it up as a profession.
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Python Basics and fundamentals: Learned basic python syntax. From strings and integers to loops and dictionaries where i build different programs
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Numpy and Pandas: I have current knowledge in these libraries and how they are used
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Data Cleaning: Inspecting and Handling values from raw data is a major part of data science. It could be the main difference as to how accurate a model can be
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Feature Engineering and Data Transformation: Transforming data to better and readable form
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Data vizualization: Interpreting and getting insight from a dataset through charts, graphs and other visualization tools
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Database :
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Machine Learning