Top 5 Most Useful Tools All Data Science Freelancers Should Know :

1. Google Cloud ML Engine

This tool allows freelance data scientists to solve problems for clients through machine learning (ML) by making predictions and classifying data. While it is possible to train ML models in their laptops, scaling up ML algorithms would not be possible without tools like Google Cloud ML Engine because of the vast computing power required for these tasks.

Freelancers have to go over several steps to train and predict an ML model in Google Cloud ML Engine. This includes acquiring the data for the ML experiments, coding the model, feeding the training data to the model, evaluating it for increased accuracy, and finally deploying it for predictions.

 

2. Amazon SageMaker

 

Like  Google Cloud ML Engine, Amazon SageMaker can be used to build, train and deploy ML models fairly quickly. One of the advantages it offers freelancers is the flexible distributed training options that can be adjusted based on their current workflows. Moreover, with work drying up these days, this is a cost-effective option for freelance data scientists as they are billed by usage alone.

According to Amazon, it is ‘built for complete end-to-end ML services’ to develop high-quality models, and should be the ideal choice for users looking to build custom algorithms and accelerate their ML deployments. Another big advantage is its open platform, which enables freelancers to pick the required tools only.

 

3. Apache Spark

With Big Data permeating the length and breadth of the business landscape, and the concurrent rise in the speed of computational power, tools like Apache Spark have become very popular among freelance data scientists. Large companies seem to prefer this over other alternatives as well to perform analytics on unstructured data and solve complex problems — a good reason for freelance professionals to master the tool. 

 

4. Jupyter Notebook

     Personally, these is my Favourite one.

Jupyter Notebook is an open-source interactive web-based computational notebook that is available for free for freelance data science professionals. It has gained popularity in recent years and has largely been adopted for the various applications it offers.

In addition to supporting multi-language programming to share codes, Jupyter enables users to create visualisations, making it a platform that merges data, code and visualisations to create an interactive computational story. In other words, it allows users to streamline end-to-end data science workflows.

According to GitHub analysis, more than 2.5 million public Jupyter notebooks were shared in 2018, from just 2,00,000 in 2015. By offering functionalities in data cleaning, statistical modelling, training ML models, and data visualisation, it has emerged as a valuable tool for data scientists, particularly freelancers.

 

5.Plotly Chart Studio

To become a successful freelance data scientist, one has to also learn how to structure insights to make it easier for a client to use that input for its decision making. Chart Studio is a data visualisation tool released by Plotly with the objective of democratising data science, and closing the gap when it comes to understanding data science among various stakeholders.

This online chart creator enables freelancers to create and deploy powerful visuals for their data, and share interactive graphs and web apps in any programming language. By being one of the most sophisticated editors for creating D3.js and WebGL charts, it enables freelance data scientists to create impactful visualisations in an interactive way, explore storytelling, as well as extract insights using its menagerie of in-built features. 

 

Thanks,

Pritsh Mishra

Source :- https://analyticsindiamag.com