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Table of contents
1.
Introduction
2.
Familiarise yourself with your area of interest
3.
Determine your question
4.
Find a Dataset related to your question
5.
Familiarise yourself with the Database
Last Updated: Mar 27, 2024

Efficiently Tackling a Data Science Project

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Master Power BI using Netflix Data
Speaker
Ashwin Goyal
Product @
18 Jun, 2024 @ 01:30 PM

Introduction

Data Science is precisely what comes in handy while searching for knowledge in these heaps of data.

However, if you get stuck at any point of your process, take a moment to ask yourselves a few questions:

 

-Do you like the idea of your project getting pushed and getting out there in the real world?

-Do you love it when you are a useful resource for your company, who provides actionable insights?

-Do you want to build an efficient  Data science project which can work on a real-time basis?

Even if you have a single affirmative answer, then my friend, you are on the right path to achieve your goal. These questions can boost up your motivation in seconds.

We are providing you with a guide for how to tackle a Data Science project efficiently:

Familiarise yourself with your area of interest

It is impossible for a person to keep an eye on every encompassing detail while working with large datasets. But, the author should be deeply involved with the subject matter of the project. Working otherwise can ruin the whole project.

-Without proper background knowledge, you will surely be making a lot of mistakes.

-A deep understanding of the thing you are dealing with can prevent potential errors.

-If you complete this process efficiently, then you are already a step ahead than your peers.

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Determine your question

You have to dig deeper to find out all the useful questions that might matter.

-Is there a possibility that the information you are looking for doesn’t exist?

-How often has your problem been put up or answered before?

-Are you content with the math of the process?

-Would you still be comfortable going on with the project when it gets monotonous or frustrating?

In this ongoing process, you might encounter a lot of datasets which can be useful as well as waste. Only your passion for the project can make you go onwards.

Find a Dataset related to your question

Sometimes you can directly find relevant databases on sites like Census or Bureau of labour statistics. These carry some of the conventional datasets which you are looking for. However, there is a potential possibility of not getting accurate information all the time.

Keep other options open if you’re unable to find the exact dataset:

-You can reach out to others who have worked on multiple programs or at least have an experience and see if they are familiar to the dataset.

-You can also find a relatable database and mould your question according to it. Be adaptable enough and continue with the second step.

Adjust your parameters as we can ensure that the results will be highly rewarding.

Familiarise yourself with the Database

Try and visualize your data as much as you can. Take some time and explore the sets of several visualizations from the data collected. See if creating graphs and charts, finding the minimum & maximum can help envision the data much clearly. You can go on with the following measures:

-If you can isolate trends with the information, it can be beneficial for you to get through the final step.

-Go through all the datasets and cross-check all the information. It might lead you to the results that you have been looking for.

You can also consider our online coding courses such as the Data Science Course to give your career an edge over others.

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