Data Science Training with Python Course
What is Data Science?
Data science can be defines as the science of obtaining valuable insights and information out of large amount of data. Traditional technologies are not very efficient to handle massive data. This is where Big Data and other data science technologies comes in.
Data Science deals with unstructured and structured data, and it includes everything from data collection, cleaning, standardization, analysis, visualization and reporting. Data Science is a combination of statistics, mathematics, programming, problem-solving, data capture, the ability to look at things differently, and the activity of data cleansing, preparation and alignment.
Using Data Science we can perform research and analysis on data which aids companies by predicting growth, providing business insights and trends based on the data collected from different sources. It helps businesses to
- Make better decisions
- Define goals based on latest trends
- Identify new opportunities
- Refine and identify target audience.
Expertise in Data Science, one of most trending fields in IT world today. Learn how to gain new insights from big data by using the right queries, manipulating data sets and visualizing your results in compelling ways.
You will learn how to collect, filter and analyse big data using popular open source applications that will allow you to perform large-scale data analysis and present your findings in a convincing, visual way. When combined with expertise in a particular field of business, it will make you a highly desirable employee.
Applications of Data Science
- Internet Search
- Digital Marketing
- Website Recommendation systems
- Air Route Planning
- Fraud and Risk Detection
- Delivery logistics
TESRO CERTIFIED DATA SCIENCE COURSE
To mould you into a Data Scientist TESRO offers four different Data Science training programs.
Masters in Data Science with Python (Machine Learning)
The “Masters in Data Science with Python” course, will help you to develop a thorough understanding of the mathematical and computational tools that are the basis of data science and how to use them to make data-driven business recommendations.
This course covers two aspects of data science learning: the mathematical and the applied. The Mathematical module covers probability, statistics, and machine learning. The applied module covers the use of several toolkit and languages such as Python, R Programming, SAS, Numpy, Matplotlib, Pandas, SciPy and Scikit to delve into real world data.
Prerequisites: There are no prerequisites for this course
Duration: 180 Days [ Fast track mode available ]