The words “data science” and “sustainability” are used a lot these days. Tech companies aren’t the only ones using data to make processes more efficient, find useful information, and make new goods.
At the same time that people, businesses, and governments are working on sustainability, the climate problem is being dealt with. People are working for a more fair future where there is less injustice and more wealth for more people around the world.
Let’s examine how Data Science and Sustainability are collaborating to offer students, researchers, and business people new ways to work.
What does sustainability mean?
This is one of the most common ways to explain what sustainability means:
“(sustainability is) development that meets the needs of the present without compromising the ability of future generations to meet their own needs.” This definition comes from a UN conference in 1987.
Sustainability is based on a simple idea: our natural world gives us everything we need to live and be healthy, either directly or indirectly. To strive for sustainability is to make and keep up the conditions that allow people and nature to live together in beneficial harmony for the benefit of both present and future generations.
Data Science and Sustainability and the Talent Gap
People with backgrounds in environmental sciences, as well as people with training in analytics and data science, are in high demand. This is because of both community needs and “corporate social responsibility” programs.
To be clear, the need for people with strong analytical skills isn’t just in the environmental sciences. Studies from McKinsey 2, IBM 3, and PWC 4 all show that the demand for data scientists keeps rising faster than the supply.
Reasons for the Talent Gap in Analytics and Data Science
Universities haven’t been able to keep up with the huge demand for people who can do analysis.
It’s not easy to find a standard academic field that explains how to turn huge amounts of structured and unstructured data into information that can help people make decisions.
To do data science, you need to know about computer science, statistics, math, and the area where the data will be used. It’s only been about ten years since most analytics and data scientist course studies hit the academic scene.
Companies other than the Fortune 500 can hire data scientists as well.
The cost of collecting and storing data is going down, and there is more and more data available to everyone. This means that small and medium-sized businesses and nonprofits can hire the same analytical talent that has traditionally only been available to the biggest and wealthiest companies.
The way we talk about data is always changing
Numbers in rows and columns have generally been used to describe data. These days, text, voice, and pictures are also considered forms of info. It’s also possible that material needs to be analyzed “in motion.”
Due to the skills needed to handle data, the talent gap is likely to stay the same even as these meanings change. The study of the environment is included in this talk. The Bureau of Labor Statistics says that for the next eight years, the need for environmental scientists and people who work on protecting the environment will grow at a rate of 11% per year.
Data Science Positions and Their Alignment with the Sustainability Movement
As with other parts of the economy, data science is being used more and more in jobs that support the drive for environmental sustainability. The website environmental science.org6 says that because of the importance of numbers, a bachelor’s degree in environmental science usually isn’t enough unless the person applying is very good at math, especially statistics.
It is very important that you take math and/or statistics as minors and options. Getting a master’s degree is recommended if one is available. This will help you learn more about how to handle, process, and interpret large amounts of data. Both the public and private sectors have a lot of jobs open for environmental scientists who also know a lot about data science.
Data science course in Bangalore with Sustainability
Here are a few examples of data science course in Bangalore that focus on sustainability.
ExcelR
ExcelR offers a 4-month program which helps to make a robust foundation in data science at ₹49,999. Emphasis on the practical knowledge, industry-relevant projects, and a 4-in-1 certification, it is aimed to prepare industry ready individuals.
Scaler
Scaler’s 11-13 month program, priced at ₹2,50,000, is curated by data scientists from top tech companies. With real-world projects, mentorship, and extensive career support, it caters to beginners, intermediates, and experts.
Unext (Previously Jigsaw Academy)
Unext, previously Jigsaw Academy, offers an 11-month PG Certificate Program in Data Science & Machine Learning in collaboration with MIT-DSML. The course, priced at ₹1,50,000+ taxes, promises a strong curriculum and guaranteed placements.
Apponix
Apponix provides a course ranging from ₹30,000 to ₹1,00,000 with a curriculum covering Python, statistics, machine learning algorithms, and business presentations. They emphasize industry readiness and offer placement assistance.
These courses typically blend foundational data science skills with a specialized focus on sustainability, catering to individuals passionate about leveraging data for addressing environmental and societal challenges in India.
Conclusion
Learning data science is an interesting way to work toward sustainability while also solving environmental, social, and economic problems. It was pointed out that current training efforts focus on combining data analytics, machine learning, and domain knowledge to create solutions that have a big effect.
But this field is still changing, so it needs to keep adapting to new tools, working with people from other fields, and ethical concerns. As we move forward, it will be important to include different points of view and make projects bigger in order to use data science as a driver for sustainable innovation and create a more stable and peaceful future for our world.
ExcelR – Data Science, Data Analytics Course Training in Bangalore
Address: 49, 1st Cross, 27th Main, behind Tata Motors, 1st Stage, BTM Layout, Bengaluru, Karnataka 560068
Phone: 096321 56744
Business Mail: [email protected]
