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Email us for Payment and Other Queries at, © 2020. experience in Blend Infotech is very good. 100 % Job Guarantee Course in … Thinkful also offers a job guarantee — if you can’t find a job after graduating, the company will refund the cost of your tuition. Features Includes: Self-paced with Life Time Access; Certificate on Completion ; Access on Android and iOS App Course Preview Video. In 2019, 97,000 positions in data science and analytics were vacant due to the lack of qualified candidates. Now I am able to do a project on my own Will the Job Assistance Program Guarantee me a Job ? Once you receive the certification, you can apply for promising Data Science job roles like Data Analyst, Product Analyst, Business Analyst, and Machine Learning Engineer. attend interviews, Write Technical Exams Polong Lin is a Data Scientist at IBM in Canada. then this job guarantee program is for you. Springboard launches data science bootcamp with a job guarantee – Springboard is launching its Data Science Career Track — the first online data science bootcamp that offers a job guarantee to its graduates. Common terminology used in analytics & modeling process, EDA framework for exploring the data and identifying any problems with the data (Data Audit Report), Understanding standard metrics (Variable significance, R-square/Adjusted R-square, Global hypothesis ,etc), Assess the overall effectiveness of the model, Understanding standard model metrics (Concordance, Variable significance, Hosmer Lemeshov Test, Gini, KS, Misclassification, ROC Curve etc), Standard Business Outputs (ROC Curve, Probability Cut-offs, Lift charts, Model equation, Drivers or variable importance, etc), Decision Trees - Introduction - Applications, Construction of Decision Trees through Simplified Examples; Choosing the "Best" attribute at each Non-Leaf node; Entropy; Information Gain, Gini Index, Chi Square, Regression Trees, Generalizing Decision Trees; Information Content and Gain Ratio; Dealing with Numerical Variables; other Measures of Randomness, Pruning a Decision Tree; Cost as a consideration, Random forest (Logic, Practical Applications), Motivation for Support Vector Machine & Applications, Interpretation of Outputs and Fine tune the models with hyper parameters, Applications of Naïve Bayes in Classifications, Basic Techniques - Averages, Smoothening, etc, Advanced Techniques - AR Models, ARIMA, etc, Understanding Forecasting Accuracy - MAPE, MAD, MSE, etc. Apply Now. 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