Data Science – Machine Learning & AI Course In Pune
Data science is a specialized field that focuses on understanding and imaging specific business, financial, manufacturing and medical research and forecasting. Data science is the process of analyzing, visualizing, extracting, managing, and storing data to gain insights from process analytics. These insights and information help companies analyze their marketing strategies, make powerful data-driven decisions, and create better ads.
Computational power has been an issue. Managing how much data we have today is becoming a challenge. It is a constant effort to increase our computational power, Here this field helps us to manage the data
With the presence and use of data in various industries and sectors, there is no substitute for data science. Therefore, people with the right skills can have a lot of opportunities.
Specific data science skills and concepts are relatively easy to learn with proper attention and tuition. So we're here for 1: 1 tuition so you can learn with practice, Our structure of study makes sure you understand everything.
This is a field that is in great demand. There are plenty of job opportunities for career aspirants. The fastest growing science on LinkedIn is currently estimating that 11.5 million jobs will be created in 2026!
Data science is in high demand for specialized professionals, and it is growing. Supply, however, is slow. According to IBM, digital science will employ 28% of all digital jobs.
The widespread use of data science has led to growing advances in algorithms and theories developed by researchers. Unfortunately, there are vacancies for 45 days.
A data scientist is a researcher who has to develop large quantities of big data for analysis, develop complex quantitative algorithms to organize and synthesize information, and present results to senior management with a compelling concept. Is.
The data scientist enhances business decision making by introducing maximum speed and better direction throughout the process.
A data scientist must be someone who likes to play with numbers and statistics. A strong analytical mindset combined with strong industrial knowledge is the required set of skills in a data scientist.
He should have above average communication skills and be skilled in communicating technical ideas to non-technical people.
WHAT YOU WILL LEARN IN DATA SCIENCE – ML AND AI
DATA SCIENCE INTRODUCTION – MODULE I
DATA SCIENCE PROGRAMMING LANGUAGE (PYTHON)– MODULE II
DATABASES MODULE- III
DATA SCIENCE LIBRARIES: Numpy, Pandas, Scipy, Scikit-learn, Matplotlib MODULE -IV
Introduction to Anaconda/Jupyter Notebook
Numpy:
Pandas:
Matplotlib: Data Visualization
Scikit-learn
PROBABILITY AND STATISTICS MODULE – V
ARTIFICAL INTELLIGENCE AND MACHINE LEARNING (ML) – MODULE VI
MACHINE LEARNING Algorithms – MODULE VII
Deep Learning – MODULE VIII
