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Be a Data Scientist!

With a Non Technical background.

An Applied Training on Data Science for Non-Techies. 

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.

View Course Outline Reserve your Seat

Our Approach for Live Classes

After establishing a reputable Physical Training Model, based on our stellar records and customer earned trust we gradually progressed to establish the same reputation in the Live Training Model. We are committed to empower you by making our trainings accessible, interactive, and well curated specifically to your objective.

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Schedule

Starting

Registrations Open!

Duration

8 weeks (Weekend Classes)

Timings

12:00 PM to 04:00 PM

Remaining

Limited Seats Available!

Meet the Instructors!

Meet the trainers of this course who are highly experienced Data Science experts!

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Mr. Ali Raza Anjum

Data Science, Machine Learning & Big Data Consultant & Trainer - Dice Analytics

Mr. Ali Raza Anjum has more than 10 years of experience in all top telecom companies of Pakistan. His key expertise are in domains of Data Science, Machine Learning, Big Data, Data Mining, Data Prediction, Data Visualization, Data-driven Marketing and Customer Value Management

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Mr. Usman Akram

Data Scientist | S&P Global

He is a highly driven software engineer with 5+ years of entrepreneurial and corporate experience in data science, machine learning & Business Intelligence. Currently leading both Data Science SIG and Data Science Made Easy (DSME) program at S&P Global with the aim to increase outreach and awareness about data science and up-skill employees with machine learning and data science techniques

Course Outline

Week 1

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 Installation
KNIME Hands One & Tool Understanding
KNIME Interface Walkthrough
What are Node and Workflows?

Week 2

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

Week 3

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

Week 4

What is Machine Learning?
Unsupervised Learning
Basics of Clustering
Understanding KMeans
Feature Scaling and why does it matter?
Cluster Validation by Silhouette Coefficient
Project #2: Clusters Profiling

Week 5

Predictive Modeling
Supervised Learning Basics
Regression Algorithms
Logistic Regression Algorithm
Correlation Matrix Understanding
Understanding Performance Metrics
Confusion Matrix
Precision, Accuracy, Recall, F Measure
ROC Curve, AUC, TPR, FPR

Week 6

Linear Regression
R-Squared and Adjusted R-Squared
Residual Plots and their Intuition
Multivariate Regression
Outliers Detection in Regression Data
Over-fitting & Under-fitting
Bias-Variance Tradeoff
Regularization

Week 7

Decision Trees
Gini Index and Information Gain
Random Forest
Association Rules
Support & Lift
Recommendation Engine Understanding

Week 8

Overview of Different Projects
Anomaly Detection
Churn Prediction
Credit Risk Modeling
Market Basket Analysis
Fraud Detection
Outlier Detection in Medical Claims
Social Media Clustering

Pricing

Following is price for this extensive training on Data Science for Non Techies

Individual
Price for an Individual participant
Rs 22,000 per person
Group of Two
7% Discount for a group of two people
Rs 20,460 per person
Group of Three
10% Discount for a group of Three people
Rs 19,800 per person
Group of Four
15% Discount for a group of four people
Rs 18,700 per person

Tools

Features

Instructor-led sessions

Real-life case studies

Assessments

Certification

 

Frequently Asked Questions

Who should attend the course?

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

What is the timing of the course?

Duration: 8 weeks
Timings: 12:00 PM – 04:00 PM
Days: Sat & Sun

Who are the Instructors?

How much hands-on will be performed in this course?

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.

What are the PC requirements?

For this Professional course, you need to have a PC with minimum 4GB RAM.

How much internet speed is required?

3GB

How will I perform hands-on tools?

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.

What sort of projects will be part of this Live Training?

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.

Will I get a certificate after this course?

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.

Can I get a job after this course?

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.

Reserve your Seat

You can reserve your seat  by filling the form below

 

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