Data Science Using Python

              
Data Science is the most promising field in 2021. As per the report of social media site, LinkedIn, data scientist is the most promising job, based on data about salaries, number of job openings, and year-over-year growth.
Data science is a multidisciplinary field of data inference, algorithm development, and technology in order to solve analytically complex problems.  At the core is data, troves of raw information, streaming in and stored in enterprise data warehouses. Much to learn by mining it. We can build advanced capabilities with it.
Data science is ultimately about using this data in innovative ways and generate business value from Big Data. The Data scientists are the people doing all these work. Global search for data scientist is not the one who has bachelor degree in Computer Science or Software Engineering or Information Systems. Firms are searching for well-rounded individuals who possess the subject matter expertise, experience in software programming and analytics, and exceptional communication skills. But, there is huge shortage of people with deep analytical skills to handle Big Data.
To become a proficient data scientist, one must master the following 7 essential skills:
1. Programming – Python & R.
2. Statistics
3. Big Data Tools and Tech. – Hadoop, Spark, Hive, HBase etc.
4. Data Visualization
5. Machine Learning
6. Deep Learning
7. Domain Expertise
This course gives broad exposure to the above mentioned key concepts using Python programming language.