Data science has transformed the way data-driven decisions are made in businesses. It uses scientific processes, algorithms, and systems to extract valuable insights from enterprise data, irrespective of the data quality and size. 

The data science lifecycle comprises of 5 stages:

• Capture (data acquisition, data entry, signal reception, data extraction)
• Maintain (data warehousing, data cleansing, data staging, data processing, data architecture)
• Process (data mining, data clustering/classification, data modeling, data summarization)
• Analyze (exploratory/confirmatory, predictive analysis, regression, text mining, qualitative analysis)
• Communicate (data reporting, data visualization, business intelligence, decision-making)

Python is a natural, dynamic, open-source programming language with a simple syntax, vast machine learning libraries, and excellent community support. Hence, it is widely reputed as being best suited for data science projects.  Enabling developers to get prototypes running in no time, Python contains toolsets that allow powerful analytics, data learning, and natural language processing functionalities. These aspects make Python the most preferred programming language for data science professionals. 

As industries increasingly adopt cutting-edge technologies such as big data, artificial intelligence, and machine learning, the demand for Python-skilled practitioners in data science is all set to rise. Our course content and curriculum are specifically designed to cater to the industry requirements by helping you master the concepts and tools of data science in Python.

The following are the benefits of pursuing the Data Science with Python course at AICL in Chennai.

• In-depth understanding of data analytics tools and techniques in Python
• Step-by-step coverage of key concepts, processes, and algorithms
• Hands-on training in live projects with large data sets and relational databases
• Builds competency in handling and visualizing data
• Dedicated mentoring from faculties with rich industry experience
• Confirmed placement in leading companies across industries

Rated as “the sexiest job of the 21^st century”, data scientists with exceptional skillsets are in huge demand across industries. Industry trends show that the career opportunities for data science professionals will continue to soar in the years to come. If you possess brilliant problem-solving skills and the capability to analyze issues and recommend solutions quickly, then you will undoubtedly land in any one of the high-paying job profiles below.

• Data scientists
• Data analyst
• Data Engineer
• Data Consultant
• Data Architect
• Machine Learning Specialist

Enterprises today are realizing the central role data science plays in data-driven decision making. Over 90% of business leaders agree that data analytics is critical to organizational growth. Data science has become a necessity for businesses across industries, categories, and segments, leading them to adopt advanced analytics for more significant insights. This, in turn, has created a surge in demand for data science professionals across the world.

Businesses across industries are on a hiring spree for data science professionals, to extract value from their data deluge.  Here is the list of sectors that top the list in terms of remuneration and purpose.

• Healthcare and Pharmaceutical
• Retail
• Telecommunications
• Technology
• Banking, Financial Services, and Insurance
• Energy
• Automotive

Basic understanding of open source programming languages and a genuine interest in data analytics are prerequisites for this course.