Programming Languages / Tools you will learn
In this course, you'll get familiar and master the following tools. These tools will help you deliver the job in the best way possible.
Crampete's Data Science course in Bangalore stands out from other training classes in a few ways: the Data Science training is offered as an instructor-led classroom course, the syllabus includes a Python, Statistics, Regression, Anova, Exploratory Data Analysis, and Supervised Machine Learning; you will build a Data Science capstone project portfolio; and finally, we also provide you with job assistance. Read on to know more about this top Data Science training program in Bangalore.
This course, designed for both students with and without experience in Data Science Course in Bangalore, makes you a well-rounded professional.
Modules are picked to give you a well-rounded ability in Data Science Course in Bangalore skills.
Get a basic overview of Jupyter Notebook and its components; and learn about the three most popular Python libraries: Numpy, Pandas and matplotlib.
View detailStatistics is an essential skill required to master data science. This module will introduce you to the most important statistical concepts that are used in data science.
View detailInferential statistics is a main branch of statistics. It allows you to make informed decisions based on the analysis of a representative sample of large data sets.
View detailLearn about a powerful statistical method that allows you to establish a relationship between two or more objects of interest. Also learn about the analysis of variance (ANOVA), which helps you analyse the differences among sample sets.
View detailLearn how to use visual methods to analyse data sets to summarize their main characteristics. See data beyond the formal modelling or hypothesis testing.
View detailLearn how to use visual methods to analyse data sets to summarize their main characteristics. See data beyond the formal modelling or hypothesis testing.
View detailIn this course, you'll get familiar and master the following tools. These tools will help you deliver the job in the best way possible.
Each project is designed to deepen and solidify your theoretical and conceptual understanding.
Your team has been hired by the clothing company Columbus to produce a model to predict whether a customer will make a purchase or not on its website. To create the model, the company has made available data extracted from its website and from its Google Analytics system. The data can be used to understand the behavior of clients during their online visit. In similar projects, this information has proven to be helpful in understanding the customer's purchasing intention.
Estimating house prices is an essential task for buyers, sellers, and banks who will provide a loan. However, house prices may vary depending on the building, location, as well as market trend. Currently, a data collection of more than 30 thousand houses has been obtained, and your task is to analyze this data collection by conducting predictive modelling and visualization.
Tapping social media exchanges on Twitter- A case study to reveal people's sentiment, trend over the disaster period, the effectiveness of social media in disaster management.
You will be working with images of dermatology samples collected and classified by doctors. The goal of the machine learning task is to determine which type of ailment is contained in the sample.
Imagine you work for our fraud detection team in the Claim department as a modeller. Your task is to create a predictive model based on historical claim data. For this case competition, you are tasked with identifying first-party physical damage fraudulence and explaining reasons of fraudulent claims. The team is interested in the key drivers of fraudulence and wants to achieve an accuracy as high as possible.
We offer convenient training methodologies to suit your individual learning styles and preferences.
Flexible options that suit your learning temperament, to take where you want to be.
Sat Mar 04 2023
Admission Deadline: Thu Mar 02 2023
Enrol Now
Sat Mar 04 2023
Admission Deadline: Thu Mar 02 2023
Enrol Now
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