Data science | demand of data science with AI
- 2. INTRODUCTION TO DATA SCIENCE Data science and artificial intelligence (AI) professionals can work in a variety of industries and settings, including: Technology: Tech companies are at the forefront of data science and AI innovation, and they hire many data scientists and AI engineers to develop and deploy new products and services. Some examples of tech companies that hire data scientists and AI engineers include Google, Microsoft, Amazon, Facebook, and Netflix. Financial services: These companies use data science and AI to improve their risk management, fraud detection, and customer service. Some examples of financial services companies that hire data scientists and AI engineers include banks, hedge funds, and investment firms. Healthcare: Healthcare companies use data science and AI to develop new drugs and treatments, diagnose diseases, and improve patient care. Some examples of healthcare companies that hire data scientists and AI engineers include pharmaceutical companies, hospitals, and medical device companies. Retail: These businesses use data science and AI to improve their product recommendations, inventory management, and supply chains. Some examples of retail companies that hire data scientists and AI engineers include Amazon, Walmart, and Target. Manufacturing: Data science and AI help manufacturing companies improve their product quality, reduce costs, and predict machine failures. Some examples of manufacturing companies that hire data scientists and AI engineers include Tesla, General Motors, and Siemens.
- 3. DATA SCIENCE NOW TIME Data science and artificial intelligence are revolutionizing the business world, ranging from small businesses or startups to large multinational companies and even public administrations. The demand for data scientists and AI engineers will grow significantly in the coming years, given the increasing amount of data generated and the need to use this data to solve real-world problems. The World Economic Forum estimates that by 2025, 58 million jobs related to Data Science and Artificial Intelligence will be generated.
- 4. DEMAND FOR DATA SCIENCE JOBS Though the above points may have explained to you the reason to choose a career in data science. It is important that you understand the market demand before you dive right in. With the significant importance of data science in different industries, having stats to substantiate the argument is important. Here are some important statistics that can help you make a well-informed decision: The report by Analytics India Magazine states that the analytics industry in India has changed drastically. The industry reached a $3.03 billion valuation in 2019 and is expected to double by the year 2025. As per the US Bureau of Labor Statistics (BLS), the years between 2022 and 2032 will see significant demand for data scientists. The employment rate is expected to see 35% growth over the years and is one of the fastest-growing occupations. The Forbes report states that data science and analytics are one of the fastest-growing professions. They are expected to see a projected growth of around 26% between 2021 to 2031.
- 5. Demand For Data Science Jobs Data science is a field that has emerged recently but has become an important part of every sector. A career in data science is not just a job but rather an opportunity to grow towards a brighter future. If you are someone looking to take data science as a career option, well you are on the right path. Here are some of the reasons why you should take up data science as your career option: High Demand for Data Scientists The increasing dependency on data to make important decisions makes data science the special ingredient. Everyone is in a rush to get hold of a data scientist, making it one of the fastest-growing job profiles. With a Data science course, you can become the candidate that every company is after. High Salary Potential Getting the desirable compensation is the objective of any profession. With the increasing demand for data scientists, people with data science qualifications are highly paid. As per the reports, data scientists are one of the most highly paid jobs all over the world. This is just the beginning and the best is yet to come as more and more companies are using data for this business. Various Job Opportunities AData science course can help open the doors to multiple career opportunities. With different industries making use of data scientists, you will have a plethora of job roles to choose from. With increasing dependency on the use of data, the demand for job scientists has also increased significantly. Work Environment Flexibility As more and more industries take advantage of the volumes of data generated daily. The role of data scientist has also become an important one. With different industries dependent on it, it will offer individuals flexibility in terms of working. Different companies offer different job roles and data scientists can work both in hybrid and remote setups.
- 6. CAREER PROSPECTS IN DATA SCIENCE Data Science Data Scientist Data Architect Data Science Manager Principal/Chief Data Scientist Data Analyst Data Warehouse Engineer Business Intelligence Developer Computer Vision Engineer ML Specialist Python Programmer – Machine Learning Data Scientist – R/Statistical Modelling
- 7. CAREER PROSPECTS IN ARTIFICIAL INTELLIGENCE Artificial Intelligence Machine Learning Engineer Data Scientist – Machine Learning/AI Senior Business Analyst – Machine Learning Artificial Intelligence Solution Leader Lead – Advanced Analytics & Artificial Intelligence NLP Developer – Machine Learning/AI Data Scientist (Artificial Intelligence) Artificial Intelligence/Machine Learning Engineer Speech Scientist – AI/Machine Learning Artificial Intelligence/ Machine Learning Lead AI Scientist – Deep Learning Business Analyst – Artificial Intelligence
- 8. DATA SCIENCE TOPIC Basic Computer HTML CSS Python and C programmimg Bootstrap Basic Mathematics Python for Data Science Statistics with Excel Power BI project MYSQL R- Programmimg Basics Statistics DSA with python Version Control ML Basics with Python Deep Learning with python
- 9. ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING Basic Computer HTML CSS Python Bootstrap Basic Mathematics Python for Data Science Business Analytics 1 Business Analytics 2 DSA with Python Version Control ML with Python ML projects Natiral Language Processing Deep learning with Python