Analytics is becoming increasingly important in today's economy. In recent years, organizations and corporations of all sorts have been gathering massive amounts of data. People who can mine and interpret data are in high demand, according to LinkedIn. These are the people who work with data.
Let's take a look at how to get started in Data Science.
What is Data Science?
Data science, in its most basic terms, can be defined as obtaining insights and information, really anything of value, out of data.
What is a Data Scientist?
Mathematicians, trend-spotters, and computer scientists make up data scientists. The data scientist's job is to decode massive amounts of data and perform additional analysis to uncover trends and obtain a better understanding of what it all means. Data scientists bridge the gap between the business and IT sectors, driving industries by analyzing large datasets and extracting insights that businesses can use to take action.
What do Data Scientists do?
Identifying the data-analytics problems that offer the greatest opportunities to the organization
Determining the correct data sets and variables
Collecting large sets of structured and unstructured data from disparate sources
Cleaning and validating the data to ensure accuracy, completeness, and uniformity
Devising and applying models and algorithms to mine the stores of big data
Analyzing the data to identify patterns and trends
Interpreting the data to discover solutions and opportunities
Communicating findings to stakeholders using visualization and other means
The Data Science Career Path: What Skills Do Data Scientists Need?
Here are some of the most prevalent data science job titles and careers:
1. Business Intelligence Analyst
By studying data and providing a clearer picture of where the organization stands, BI analysts may help figure out market and business trends.
2. Data Mining Engineer
The data mining engineer evaluates not only their own company's data but also data obtained from external sources. A data mining engineer will design sophisticated algorithms to help further analyze the data in addition to analyzing it.
3. Data Architect
Data architects collaborate closely with users, system designers, and developers to establish blueprints for data management systems to consolidate, integrate, maintain, and safeguard data sources.
4. Data Scientist
Data scientists start by converting a business case into an analytics agenda, formulating hypotheses, comprehending data, as well as exploring trends to see how they affect organizations. They also find and select algorithms to aid in data analysis. Data scientists may utilize business analytics to not only explain how data will affect a company in the future but also help create solutions to help the organization deal with these consequences in the future.
Career Prospects for Data Scientists
If you have the necessary qualifications, you can have a successful career in data science. Individuals with these talents will continue to be in high demand, and those now working in data science will see their incomes rise in the future. Data Scientists in the United States can earn an annual average of USD 113,251, according to Indeed, while Data Scientists in India can earn an annual average of USD 824562, according to Payscale.
Learning Resources for Data Science
Skills you need as a Data Scientist are as follows-
Probability & Statistics
Multivariate Calculus & Linear Algebra
Programming
Data Visualization
Cloud Computing
DevOps
The four major platforms that we would recommend for upskilling yourself are-
1. Kaggle
2. Data Camp
3. Coursera- IBM
4. Cognitive AI