The demand for competent data scientists is on a rise. They are hired by top organizations to get perceptions about the market, evaluate organizational risks, forecast sales, appraise risks within an organization, boost customer experience and improve the quality of consumer and industrial products. For implementing these tasks data scientists utilize various data science tools.
These tools help them to interpret, extract, leverage, pre-process and generate predictions from vast and complex structured and unstructured data. We have put together the list of top 10 data science tools to look forward to in 2020.
Tableau is a powerful software that visualizes and analyzes data. It is loaded with advanced graphics that help in visualizing geographical data and simplifying unprocessed data into a format that is easy to understand. The software can interface with databases, spreadsheets, OLAP, and cubes.
TensorFlow is an open-source data science tool with multi-dimensional arrays famous for its efficient analysis of raw data and computational capacities. With its ability to function on CPUs and GPUs, it has emerged as a powerful platform. The tool finds application in advanced ML algorithms such as Deep Learning.
Used for generating graphs by utilizing the analyzed data, this powerful data science tool is a popular choice to look forward to in 2020. With the help of this tool, you can generate complex histograms, bar graphs, and scatterplots. These complex graphs in the analytics tool can be created by simple coding.
MATLAB is an advanced closed-source software that processes mathematical data. The analytics platform can be automatically generated by using code, output, and formatted text. The versatile and multi-paradigm numerical computing environment tool for data scientists can be used for image and signal processing, execution of algorithms, and demonstration of data through statistics. The tool also features a graphic library that is used for creating powerful visualization, processing of image and signal.
SAS is a leader in the domain of analytics and cloud computing. It is closed source software that is used for analyzing and presenting data powerfully and interactively. It is mainly used by large organizations for statistical operations.
The trusted technology empowers businesses by converting their data into better decisions. So whether you are a data scientist or statistician, business analyst or forecaster, you can surely benefit from it.
Next in the data science tools list of our countdown is BigML. It is a powerful data analyzing and visualization tool that is going to become more popular in 2020. It provides a fully communicative, cloud-based GUI (graphic user interface) setting for handling machine learning Algorithms.
BigML is the ideal tool that specializes in predictive modeling. Therefore, it is mainly used for estimating sales, analyzing risks, and creating new products. The best feature of the tool is that it is equipped with different automation methods and facilitates interactive data visualization.
ggplot2 is an advanced software that creates powerful illustrations and visualizations. You can create maps of different styles such as chloropleths, hexbins, and cartograms. It can also deliver customized visualizations for enhanced storytelling with it.
The tool facilitates data scientists and statisticians to add text labels to data points and increases interactivity and aesthetic value of the graphical representations.
Weka (an abbreviation of Waikato Environment for Knowledge Analysis) is open-source GUI software with an interactable platform. The advanced software is an assortment of different machine learning algorithms that can be used for data mining. The most popular data science tool includes tools such as classification, regression, clustering, visualization, and data preparation.
NLTK is one of the powerful data science tools and techniques that’s going to dominate in 2020. It assists computers to learn and decode human language by developing statistical models that form a vital part of machine learning.
NLTK is an abbreviation of natural language processing and finds extensive application in different language processing methods like tagging, stemming, parsing, tokenization, and machine learning.
Apache Spark is a powerful analytics tool that is particularly created to deal with batch processing and stream processing. It features many application programming interfaces for helping data scientists to create repeated data access for the purpose of Machine Learning.
To conclude, the above-mentioned data analyzing and visualization tools are going to have a major impact in 2020. They are going to transform businesses and revolutionize the ways organizations operate in a competitive scenario.
I have had the pleasure of working with Visvero (Sandi) for almost two years now. She has been an extremely resourceful contact and is always quick to help. She and her team at Visvero were able to find candidates for even the most stringent requirements and job descriptions. She is a pleasure to work with and will make sure any candidate she sends over is a qualified candidate. I would recommend any recruiters working on C2C contract positions to reach out to her.
Process Automation, Budgeting, Applications Development, Google Charts, PHP, Open Source, Pentaho
Visvero helped us develop a industry transforming solution to have a direct profit impact on mid-size landscaping industry. We have been able to help our clients manage the business lifecycle with their clients from the lead generation to contracts execution phase. The application helps our clients identify and independently track and manage each cost component on any project or maintenance contract. Tracking/ managing these allows our clients to better control quality and profitability of each contract.
Business Intelligence, Qlik, Alteryx, .NET, Tableau, Sisense, SpotFire, Machine Learning
As an advisor to various state and national agencies NIC takes on several blue sky technology projects for which we rely on trusted partners for advice and investment of time and treasure. Visvero team invested thousands of person hours helping our team socialize the key analytics technologies and develop and enhance the products for various client projects. The team was always able to take project briefs and create high utility analytics applications. Definitely recommend them for public sector applications projects.
Business Intelligence, Staffing, .NET, Tableau, Flexible
In LA, we are in a competitive market for talent. So, when we had a recent need for specialized Tableau developers, we turned to our trusted friends at Visvero. We were rapidly able to add 3 talented developers on project. Visvero was very flexible in accommodating our request to convert developers as Fandango FTE. I highly recommend Visvero recruiters for being able to find critical Business Intelligence consultants quickly and being flexible with contracts to make the gains permanent.
Business Intelligence, Qlik, OBIEE, Risk Reporting, HR Analytics
“We organized an analytics “bake-off” between IBM using Endeca and Visvero using Qlik. In two weeks the Visvero team was able to deliver a consumer ready Risk and HR analytics application, four weeks later we were just getting started with IBM. And what’s more, my team and I spent over 80 hours getting IBM to start to understand what it is that we needed. Visvero team had a subject matter expert who took all of 6 hours with my team. Engaging Visvero was a “no-brainer” decision.”
Pharmaceuticals, Sales and Research applications, Qlik, SAP
At Allergan, our business team had a very divergent view of output from our analytics roll-out. Visvero was able bridge the gap and deploy a crack team of Qlik and SAP developers who enabled us to deliver the applications in weekly sprints. Our team scaled 1 power user to a team of 8 developers in 10 days. QuikWIN methodology was transformational in how we delivered applications to our customers – the sales organization.
Business Intelligence, Staffing, SAP, Business Objects, Oracle, DB2
This project is a key win for us. Visvero consultants were properly vetted and compliant with our rigorous processes. Consultants appeared to be satisfied with offline mentoring and periodic training on new tools. As a contracted asset the engaged consultants do not have adequate access to same trainings that are available to our FTEs, Visvero closed this gap by creating their internal trainings to support our consultants. It was great for everybody involved. And the teams were super productive!