Open Source/Introduction to Data Science

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Introduction to Data Science Course Overview

Enroll for the 3-days Introduction to Data Science training and certification course from Koenig solutions.

This course provides a high-level overview of essential Data Science areas. A basic understanding of Data Science from business and technology perspectives is provided, along with an overview of common benefits, challenges, and adoption issues.

In this course, you will learn the foundations for Data Science and also learn to use Python - a powerful open source tool. You will come across interesting concepts like exploratory data analysis, statistics fundamentals, hypothesis testing, regression & classification modeling techniques and get introduced to machine learning.

Target Audience

This course is meant for:

  • A beginner who is interested in data science and want to learn basic data science skills
  • Those looking for a more robust, structured data science learning program
  • Data Analysts, Economists, or Researchers
  • Software or Data Engineers

Learning Objectives

Upon completion of this course, participants will learn the following:

  • Data Science Tools & Technologies
  • Statistics for Data Science
  • Python for Data Science
  • Exploratory Data Analysis
  • Advanced Statistics & Predictive Modeling
  • Optimize Model Performance
  • Dimensionality Reduction
  • Basics of Machine Learning
Introduction to Data Science
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The 1-on-1 Advantage

Get 1on-1 session with our expert trainers at a date & time of your convenience.
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Flexible Dates

Start your session at a date of your choice-weekend & evening slots included, and reschedule if necessary.
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4-Hour Sessions

Training never been so convenient- attend training sessions 4-hour long for easy learning.
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Destination Training

Attend trainings at some of the most loved cities such as Dubai, London, Delhi(India), Goa, Singapore, New York and Sydney.

You will learn:

Module 1: Foundation for Data Science
  • Introduction to Data Science
  • Analytics Landscape
  • Life Cycle of a Data Science Projects
  • Data Science Tools & Technologies
  • Measures of Central Tendency
  • Measures of Dispersion
  • Descriptive Statistics
  • Probability Basics
  • Marginal Probability
  • Bayes Theorem
  • Probability Distributions
  • Hypothesis Testing
  • Install Anacond
  • Data Types & Variables
  • String & Regular Expressions
  • Python list
  • Python dictionaries
  • Python set
  • Python tuple
  • Comprehensions
  • For Loop
  • While Loop
  • Break Statement
  • Next Statements
  • Repeat Statement
  • if, if…else Statements
  • Switch Statement
  • Writing your own functions (UDF)
  • Calling Python Functions
  • Functions with Arguments
  • Calling Python Functions by passing Arguments
  • Lambda Functions
  • Classes & Objects
  • Reading files with Python
  • Writing files from Python
  • Reading files using Pandas library
  • Saving Data using Pandas library
  • Clean & Prepare Datasets
  • Manipulate DataFrame
  • Summarize Data
  • Churn Insights from Data
  • Charts using Matplotlib
  • Charts using Seaborn
  • Charts using ggplot
  • ANOVA
  • Linear Regression (OLS)
  • Case Study: Linear Regression
  • Principal Component Analysis
  • Factor Analysis
  • Case Study: PCA/FA
  • Logistic Regression (MLE)
  • Case Study: Logistic Regression
  • K-Nearest Neighbor Algorithm
  • Case Study: K-Nearest Neighbor Algorithm
  • Decision Tree
  • Case Study: Decision Tree
  • Understand Time Series Data
  • Visualizing TIme Series Components
  • Exponential Smoothing
  • Holt's Model
  • Holt-Winter's Model
  • ARIMA
  • Case Study: Time Series Modeling on Stock Price
  • What is Machine Learning?
  • Supervised Learning
  • Unsupervised Learning
  • Using Scikit-learn
  • Scikit-learn classes
  • Case Study: Machine Learning Algorithm
Live Online Training (Duration : 24 Hours)
We Offer :
  • 1-on-1 Public - Select your own start date. Other students can be merged.
  • 1-on-1 Private - Select your own start date. You will be the only student in the class.

1400 + If you accept merging of other students. Per Participant & excluding VAT/GST
4 Hours
8 Hours
Week Days
Weekend

Start Time : At any time

12 AM
12 PM

1-On-1 Training is Guaranteed to Run (GTR)
Group Training
1250 Per Participant & excluding VAT/GST
Online
05 - 07 Jun 09:00 AM - 05:00 PM CST
(8 Hours/Day)
Online
03 - 05 Jul 09:00 AM - 05:00 PM CST
(8 Hours/Day)
Can’t Attend Live Online? Click to Buy Flexi For Only $199 (Video Recording of Live Online)
Introduction to Data Science
Course Prerequisites
  • Elementary programming knowledge
  • Familiarity with statistics

Student Feedback  (Check Koenig Feedback on Trustpilot)

Q1 Say something about the Trainer? Q2 How is Koenig different from other training Companies? Q3 Will you come back to Koenig for training ?
on Trust Pilot
Student Name Feedback
Brandy Cannedy
United States
A1. very knowledgable
Omar Abdulla
United States
A1. Yes i like her, she has a unique technique of training novice programmer

FAQ's

You can buy online from the page by clicking on "Buy Now". You can view alternate payment method on payment options page.
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Yes, we also offer weekend classes.
Yes, Koenig follows a BYOL(Bring Your Own Laptop) policy.
1-on-1 Public - Select your start date. Other students can be merged.
1-on-1 Private - Select your start date. You will be the only student in the class.
Yes, course requiring practical include hands-on labs.
You will receive the digital certificate post training completion via learning enhancement tool after registration.
Yes, we do. For details go to flexi
It is recommended but not mandatory. Being acquainted with the basic course material will enable you and the trainer to move at a desired pace during classes.You can access courseware for most vendors.
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You can request a refund if you do not wish to enroll in the course.
You can pay through debit/credit card or bank wire transfer.
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Yes you can.
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Yes, we do.
Schedule for Group Training is decided by Koenig. Schedule for 1-on-1 is decided by you.
In 1 on 1 Public you can select your own schedule, other students can be merged. Choose 1-on-1 if published schedule doesn't meet your requirement. If you want a private session, opt for 1-on-1 Private.
Duration of Ultra-Fast Track is 50% of the duration of the Standard Track. Yes(course content is same).

Prices & Payments

Yes, We are
Yes of course.

Travel and Visa

Yes we do after your registration for course.

Food and Beverages

Yes.

Others

Yes, if you send 4 participants, we can offer an exclusive training for them which can be started from Any Date™ suitable for you.
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