In today’s age of technology and rapidly changing economic and sociopolitical scenario Wisdom College for Creativity & design has come up with some edtech programs like B.VOC Data Science, Post Graduate Diploma in Data Science and Certification in Data Analysis etc.
Data science techniques along with genomic data provides a deeper understanding of genetic issues and reaction to particular drugs and diseases.
Logistic companies like DHL, FEDEX have discovered the best time and routes to ship best modes to deliver and all of this is possible with the help of data science and it helps in reducing time energy and cost to deliver goods and services
With the help of data science it’s not only easy to predict employee attrition and understand the variables that influence employee turnover.
With the understanding of data science the airlines companies can easily predict flight delay and notify the passengers in advance to enhance their travel experience
Average starting Salary for Data Scientist in India is around ₹4.2 Lakhs per year (₹35.0k per month). 1 year of minimum experience is required to be a Data Scientist. Highest salary that a Data Scientist can earn is ₹25.3 Lakhs per year (₹2.1L per month).
Data Science is a combination of multiple disciplines that uses statistics, data analysis, and machine learning to analyze data and to extract knowledge.
With the Quick Analysis tool in Excel, you can quickly and easily analyze your data.
This data science with Python tutorial will help you learn the basics of Python along with different steps of data science. Learn to use powerful, open-source, Python tools, including Pandas, Git and Matplotlib, to manipulate, analyze, and visualize complex datasets.
In data science, statistics is at the core of sophisticated machine learning algorithms, capturing and translating data patterns into actionable evidence. Data scientists use statistics to gather, review, analyze, and draw conclusions from data, as well as apply quantified mathematical models to appropriate variables.
Data science represents the entire process of finding meaning in data. Machine learning algorithms are often used to assist in this search because they are capable of learning from data. Deep learning is a sub-field of machine learning but has improved capabilities.
Tableau business science is a new class of AI-powered analytics that brings data science capabilities to business domain experts. Using AI, machine learning, and other statistical methods to solve business problems has largely been the purview of data scientists.
This course is designed to give you a primer in the fundamentals of SQL and working with data so that you can begin analyzing it for data science purposes.
R provides objects, operators and functions that allow users to explore, model and visualize data. R is used for data analysis. R in data science is used to handle, store and analyze data. It can be used for data analysis and statistical modeling.
Data Science is another universe to explore. Data science is an interdisciplinary field concerned with extracting knowledge or insights from data and is an inclusive term for quantitative methods, such as statistics, operations research, data mining, and machine learning.
Improve learning outcomes and empower students with simple techniques to transform learning in the moment with Online, Offline and Hybrid mode.
Unlimited access to over 40+ Lectures. The program will help you master the foundations of Data Science, Machine Learning and Artificial Intelligence.
Get real-time discussions, learning, and one-on-one Q&A sessions to clear all doubts. This mode is definitely one of the most preferred modes for Data Science
The data science capstone project is designed for students to gain invaluable experience by applying data-driven solutions to analytics-related problems.
Choosing data science means becoming an expert in making positive change. As a data scientist, you can provide leaders with the valuable information they need to make confident decisions, propel businesses forward, drive change in communities, and so much more.
On a daily basis, a data scientist may do the following tasks: Discover patterns and trends in datasets to get insights.
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