The stakes have never been higher when it comes to making decisions for your enterprise. The days of choosing a plan of action based on a gut feeling are long gone. Data-driven strategy is the only way to stay afloat in this dicey digital climate. That’s why data scientists across all industries are in higher demand than ever.
The goal? Enhanced decision-making.
Data science enables enterprises to measure, track, and record performance metrics that can help generate a successful roadmap for your organization.
How to get there? Data science tools.
Whether you are a business leader, career switcher, or a data scientist looking to advance digital skills, Udacity offers a wide range of programs catered to every level. Regardless of where you are in your digital transformation journey, familiarizing yourself with the following can help you achieve measurable results:
Matplotlib
Matplotlib is a library for creating static, animated, and interactive visualizations in Python. Data is only as good as it’s presented and visualizations are the easiest way to analyze and grasp information.
Pandas
Pandas is an open-source Python package that is typically used for data science, data analysis, and machine learning projects. It has built-in data visualization capabilities and supports file formats and languages such as CSV, SQL, HTML and JSON. Some other features include intelligent data alignment, integrated handling of missing data, reshaping of data sets, data transformation, and expedited merging of data sets.
NumPy
Short for Numerical Python, this open-source Python library enables various mathematical and logic functions. It also supports linear algebra, random-number generation, and more.
TensorFlow
TensorFlow is an end-to-end open-source platform for machine learning. It helps data scientists implement best practices for data automation, model tracking, performance monitoring, and model retraining. Plus, it’s used by beginners and experts alike.
Jupyter Notebook
This open-source web application enables enhanced collaboration among data scientists, data engineers, mathematicians, researchers, and more. It has been a staple for data scientists who work with Python.
Tableau
Tableau is hugely important in terms of communication. It helps teams dig deeper into data, uncover hidden insights, and then visualize that data in a digestible way. Tableau also helps data scientists explore the data quickly, which is especially important with large datasets.
PyTorch
PyTorch is an open-source machine learning framework based on the Python programming language and the Torch library. Torch is an open-source machine learning library used for creating deep neural networks.
R
R is an advanced programming language used for complex statistical calculations. It is widely used by data scientists and business leaders in various fields.
Interested in learning more about these in-demand data science tools? Check out what programs are available through Udacity.
