As a Data Scientist with expertise in machine learning, you can expect to work in companies that require you to help the systems controlling the business to assess frauds and even predict outcomes. This makes you a valuable asset and you can earn an average salary of about USD 111,312 per year.
Data mining is necessary when working with companies like Amazon or other Fortune 500 companies. You can expect to earn around USD 65,000 per year as a fresher.
Being a Data Scientist with experience in doing quality analysis, you can take the whole data extraction and analysis process to the final stages of generating readable reports for your employers. You can expect to make about USD 73,590 per year.
1000+
Top Companies
50%
Average Salary Hike
Top 1%
Global Universities
Analyse movie data from the past 100 years and find out various insights to determine what makes a movie do well.
Solve a real industry problem through the concepts learnt in exploratory data analysis
Build a model to understand the factors on which the demand for bike sharing systems vary on and help a company optimise its revenue
Help the sales team of your company identify which leads are worth pursuing through this classification case study
Apply the machine learning concepts learnt to help an international NGO cluster countries to determine their overall development and plan for lagging countries.
Telecom companies often face the problem of churning customers due to the competitive nature of the industry. Help a telecom company identify customers that are likely to churn and make data-driven strategies to retain them.
Build a machine learning model to identify fraudulent credit card transactions
Forecasting the sales on the time series data of a global store
In this assignment, you will work on a movies dataset using SQL to extract exciting insights.
In this assignment, you will apply your Hive and Hadoop learnings on an E-commerce company dataset.
This is an ETL project which will cover the topics like Apache Sqoop, Apache Spark and Apache Redshift
This assignment will test the learners understanding of the previous 2 modules on structured problem solving 1 and 2
With the IPL season commencing, let's go ahead and do an exciting assignment on sports analytics in Tableau.
Build a regularized regression model to understand the most important variables to predict the house prices in Australia.
Analyse the dataset of parking tickets
Practice MapReduce Programming on a Big Dataset.
In this module, you will solve an industry case study using optimisation techniques
This module will contain practice assignment & all resources related to a classification based problem statement.