Managing and regulating the use of big data as an insight-generating engine has increased the demand for data scientists at enterprise-level, across all industries around the globe.
Whether it is refining the product development procedure or improving customer retention through the data to look for more significant opportunities, organizations require the expertise of data scientists to sustain, grow, and give out the fierce competition. The, therefore, booming field of data science presents an enticing career for its aspirants.
Here’s what a day in a data scientist’s life will look like:
- You will need to identify the data-analytics problems that offer opportunities to the organization
- You will determine the correct data sets and its variables
- You will be collecting large sets of both structured and unstructured data from a variety of sources
- To ensure accuracy, completeness, and uniformity, you will clean and validate the data
- To mine the stores of big data, you need to devise and apply models and algorithms
- You need to analyze the data to identify patterns and trends
- Interpreting the data to discover solutions and opportunities
- Communicating findings to stakeholders using visualization and other means
A data science course syllabus includes a diverse set of skills that you will learn and will need to become a good data scientist. Let’s have a look.
Statistics
Statistics is an integral part of data science. It helps you learn all about statistical tests, distributions, and maximum likelihood estimators. Analytical knowledge will help you in understanding when different techniques are or are not a logical approach.
Statistics are vital to all companies, but especially data-driven companies where stakeholders will depend on your help to make decisions, design, or evaluate experiments.
Machine Learning
Another essential skill you get to master is machine learning that is a significant part of the data science course syllabus. Machine learning will help you manage vast amounts of data, especially where the product is data-driven.
It is essential to understand the broad strokes and being able to decide what technique to use.
Data Visualization and Communication
Visualizing and communicating data is an incredibly useful skill to learn. Communication of data means describing your findings, or the way techniques work to both the technical and non-technical audiences.
Visualization-wise, it can be immensely helpful to be familiar with data visualization tools. Tableau has become an accessible data visualization and dashboarding tool, as well. However, it is necessary to visualize data and not just be familiar with it.
Data Wrangling
In the syllabus of the data science course, you get to know how to manage the messy data and work with it. It teaches you how to deal with imperfections in data. They include missing values, inconsistent string formatting, and date formatting. This skill is vital for every data scientist to develop, regardless of the size of the company.
Also, excellent data intuition makes a data scientist more efficient in their work. This skill comes with experience.
Mastering all the skills mentioned above will let you enter a career space with limitless opportunities in your professional future. Data science courses from reputable institutions such as Jigsaw Academy provide you a chance to maximize your chances of getting into this field. It offers a comprehensive syllabus in the data science course that covers all the essential skills, which will help you get multiple job options after completion.