Python, R, Tableau, SAS, TensorFlow, Keras, Data Science, Machine Learning Algorithm, Time Series Analysis, Natural Language Processing, Deep Network, more.
Read MoreThe landscape of Data Science is projected to double its size by the year of 2025 (in 2019 it was 3.03 billion.) Indian government has decided to invest Rs 3,063 crore or $477 Million in the field of AI, ML, and 3-D printing. The salaries of Data Scientists in India and in the US are 8 lacs/yr. and $124k/yr. respectively. The salaries of AI Engineers in India and in the US are 7.5 lacs/yr. and $111k/yr. respectively. So, this is the perfect time to get a Master’s certification on the same.
Read MoreAnyone willing to build a cloud computing career in Data Science.
Read MoreNo prerequisite. We teach everything from scratch.
Read More36
WEEK
10
Modules
36
Hours
8
Skills
36
WEEK
10
Modules
36
Hours
8
Skills
36
WEEK
10
Modules
36
Hours
8
Skills
36
WEEK
10
Modules
36
Hours
8
Skills
Hours of Content
Live Sessions
Tools & Softwares
Case Studies & Projects
A major government bank has approached your company to analyze from their customer loan data set. Since the last 4 months, a lot of customers who are not able to repay their loan amount has increased. You have been assigned a task of analyzing from the data set and giving insights about which customer should be given the loan approval and which shouldn’t be.
Read MoreDevelop an ML algorithm to identify the most optimal ratio/ aspects to allocate funds/ spending proportionately by organizations in different areas of expenses like R&D, Marketing, Employee Cost, HR & Admin Cost, Infrastructure Cost etc. Identifying the optimal ratio of the amount of allocation of funds to various segments is utmost important. This would also help the Management team with below aspects, to increase the revenue and profitability, to better design marketing strategies, to allocate the internal resources better.
Read MoreAs you are holding the position of Data Scientist in your current organization, you need to build a model to categorize words based on sentiments. This model should tell whether words detected are positive or negative.
Read MoreAndrew is a Data Analyst in a company named ValueAnalytics, he has been assigned a project to analyze the Stock Market from a data set of Technology Stocks, by using the different libraries, he has to extract the stock information and perform the visualization of different aspects, along with analyzing the risk of a stock from its past history. find the change in the price of the stock over time, find the daily return of the stock on average, find the moving average of the various stocks, find the correlation between different stocks' closing prices, find the correlation between different stocks' daily returns, find the value we should put at risk by investing in a particular stock, also, attempt to predict future stock behaviour.
Read MorePost the election, the government has given your company a contract of doing the analysis on the Election and Donor Data. You as the data analyst are supposed to answer a few questions by analyzing the aggregated poll data. Like how many votes are done and different aspects in it along with analyzing the average donations given to Democrats and Republican (more questions are asked during the project).
Read MoreProvide your machine with the multiple datasets of multiple persons in OpenCV, and after running it, it should be able to detect those faces and display their names whenever detected on the screen or camera. A Dataset which should consist of everyone’s face images into a subfolder by names. Each person’s dataset should consist of at least 3 images which will be used to verify the operation of your model
Read MoreBuild a model to identify the frauds from the Data Set. Then, move to build an advanced deep learning mapping model to identify and predict the probability that each customer cheated. First, build the unsupervised deep learning branch from your hybrid deep learning model. Second, develop the supervised learning branch and then compose this hybrid deep learning model comprising both supervised and unsupervised deep learning.
Read MoreBuild a Spam filter which can identify the SPAM Messages from the Data Set given to you by using NLTK and Scikit Learn.
Read MoreProvide your machine with the multiple dataset of multiple persons in OpenCV, and after running it, it should be able to detect those faces and display their names whenever detected on the screen or camera. A Dataset which should consist of everyone’s face images into subfolders by names. Each person’s dataset should consist of at least 3 images which will be used to verify the operation of your model
Read MoreBuild a model to identify the frauds from the Data Set. Then, move to building an advanced deep learning mapping model to identify and predict the probability that each customer cheated. First, build the unsupervised deep learning branch from your hybrid deep learning model. Second, develop the supervised learning branch and then compose this hybrid deep learning model comprising both supervised and unsupervised deep learning.
Read MoreYou are working as a BI Specialist for a company called DataViziOne. Your company got a project from one of the top megastore companies in the US. They want a sales analysis in USA, city, state-wise, and country wise. You need to create a dashboard visualizing. Which country which has the best sales record (need to show the map view), which state which has the best sales record based on revenue (need to show geographical visualization), which salesman from a city to find out the best salesman (Drill down from every city of a state to find out the best sales record in a city)?
Read MoreA giant garment store company has approached your company, now you as a BI professional need to find out the insights from one of their stores in a region and perform the following tasks on their sales report. Use report background colour or background image on your report. Create a report header using Text, Image, Shape visuals (Report Name, Company Name, Company Logo). Make sure to use the containers in the above tasks. Plot all required filters which are useful to analysis. Show Gross Sales & Total Profit using card visuals. Show sales and profit using appropriate visuals by Year/Month (Using Drilldown). Show Segment wise sales & profit. Maximum & minimum discount has to be given to which product. Show profit % by country. Publish report to the Tableau Workbook in the "Finance" workspace. Create and share the workbook with your colleagues
Read MoreDate | Days | Time | |
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15th May | Sat & Sun (Weekend) | 8:00 PM IST to 11:00 PM IST | |
21st May | Sat & Sun (Weekend) | 8:00 PM IST to 11:00 PM IST | |
28th May | Sat & Sun (Weekend) | 8:00 PM IST to 11:00 PM IST | |
5th Jun | Sat & Sun (Weekend) | 8:00 PM IST to 11:00 PM IST |
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