In this live training you will explore how to get into Data Science with a non-technical background. You would be practicing on handy tools such as KNIME and others obviated by programming to work on advance models of Machine Learning & Data Science. This complete training will help you master all three elements of Data Science – Statistics, Tools, and Business Knowledge.
We’ll be covering the complete process of Data Science from Data Integration, Data Manipulation, Descriptive Analytics and Visualization to Statistical Analysis, using drag & drop tools and Machine Learning models, using Predictive Modeling, Regression Algorithms & Linear Regression.
By the end of this training, you will have enough knowledge and hands-on expertise in different tools of Data Science to use and apply them in the real world around you.
8 weeks (Weekend Classes)
12:00 PM to 04:00 PM
Limited Seats Available!
Meet the trainers of this course who are highly experienced Data Science experts!
|What is Data Science|
|Python/R a Myth|
|Drag & Drop Tools of Data Science|
|SAP Predictive Analytics Basic Understanding|
|What is CRISP-DM Methodology?|
|KNIME Hands One & Tool Understanding|
|KNIME Interface Walkthrough|
|What are Node and Workflows?|
|Import/ Export from Files to Databases|
|What are KNIME Extensions?|
|Exploring the KNIME Hub|
|Data Exploration & Understanding|
|Cleaning Data with Missing Value Node|
|Performing Univaraite Analysis & Bivariate Analysis|
|Different Methods for Data Sampling|
|Organizing Workflows through Comments & Annotations|
|Approaches for Blending and Merging of Data|
|Filtering your data on basis of your row and column values|
|Modularization of Nodes into Meta Nodes|
|Understanding Data Aggregations|
|How does Feature Engineering Works?|
|Understanding Pre & Post Analysis|
|RFM Segmentation for Customer Segmentation & Loyalty|
|RFM Segmentation and its role in feature engineering|
|Project #1: Wrapping up RFM Segmentation|
|What is Machine Learning?|
|Basics of Clustering|
|Feature Scaling and why does it matter?|
|Cluster Validation by Silhouette Coefficient|
|Project #2: Clusters Profiling|
|Supervised Learning Basics|
|Logistic Regression Algorithm|
|Correlation Matrix Understanding|
|Understanding Performance Metrics|
|Precision, Accuracy, Recall, F Measure|
|ROC Curve, AUC, TPR, FPR|
|R-Squared and Adjusted R-Squared|
|Residual Plots and their Intuition|
|Outliers Detection in Regression Data|
|Over-fitting & Under-fitting|
|Gini Index and Information Gain|
|Support & Lift|
|Recommendation Engine Understanding|
|Overview of Different Projects|
|Credit Risk Modeling|
|Market Basket Analysis|
|Outlier Detection in Medical Claims|
|Social Media Clustering|
Following is price for this extensive training on Data Science for Non Techies
Real-life case studies
Graduate or Masters Students with non technical background who want to start their career in the Data Science domain
People who are working in the non tech departments and want to advance their career in the field of Data Science
Executive who want to build a Data Science department in their start-ups/organizations
Duration: 8 weeks
Timings: 12:00 PM – 04:00 PM
Days: Sat & Sun
Since our courses are led by Industry Experts so it is made sure that content covered in course is designed with hand on knowledge of more than 70-75 % along with supporting theory.
For this Professional course, you need to have a PC with minimum 4GB RAM.
For executing the practicals included in the Data Science for Non Techies Training, you will set-up tool on your machine. The installation manual for tool prep will be provided to help you install and set-up the required environment.
This Certification Training course includes multiple real-time, industry-based projects, which will hone your skills as per current industry standards and prepare you for the future career needs.
Yes, you will be awarded with a course completion certificate by Dice Analytics. We also keenly conduct an annual convocation for the appreciation and recognition of our students.
Since our instructors are industry experts so they do train the students about practical world and also recommend the shinning students in industry for relevant positions.
You can reserve your seat by filling the form below