Week 3
Data Visualization
- Overview of Data Visualization
- Data Visualization with Python (includes use cases of libraries such as Matplotlib, Seaborn, Bokeh, etc.)
Data Processing Methods
- Understanding Data Processing
- Pandas DataFrame
- Data Cleaning (Overview)
- Slicing, Indexing, Manipulating, and Cleaning Pandas Dataframe
- Working with Missing Data in Pandas
How to Learn Data Science in 10 weeks?
The magic of “Data Science” has exploded in the entire market and has become a major wagon for all scales of businesses. Today, the decisions companies are making along with the forecast are solely dependent on data science. The field of data science has grown more than 3x folds, especially during the recent pandemic, as everyone was forced to work remotely, and thus it has opened many doors of opportunities for companies and working professionals to switch or start their careers in this field.
Recent stats have also suggested that almost 40% of companies have slashed their unwanted expenditure and that’s how more than 50,000 jobs have been generated in this field. Even if you talk about current stats, there are more than 1 lakh jobs available alone in India and more than 10 lakhs are there at a worldwide level. This clearly indicates that the scope in the field of data science is going to be glorious in the upcoming years. Now, the question arises is how to learn data science in 10 weeks? Learning could be fun and interactive only if you’ve chosen the right path and resources. In this article, we’ll see the steps, procedure, material, and allocation of time for learning data science right from the beginner’s level. Let’s find out:
But, before we move ahead, you must understand why you should opt for Data Science as a career point of view.
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