Data Science with Python Course Overview

Enroll for the 9-days Data Science with Python training and certification course from Koenig solutions.

The Data Science with Python course helps you learn Python programming required for Data Science. In this training, you will master the technique of how Python is deployed for Data Science, working with Pandas library for Data Science, data cleaning, data visualization, Machine Learning, advanced numeric analysis, etc.

Upon course completion, you will master the essential tools of Data Science with Python.

Target Audience

This course is ideal for:

  • BI Managers and Project Managers
  • Software Developers and ETL Professionals
  • Analytics Professionals willing to work with Python
  • Big Data Professionals
  •  Anyone with a genuine interest in data science

Learning Objectives

Upon completion of this course, participants will be able to:

  • Gain an in-depth understanding of data science processes, data wrangling, data exploration, data visualization, hypothesis building, and testing; and the basics of statistics
  • Understand the essential concepts of Python programming such as datatypes, tuples, lists, dicts, basic operators, and functions
  • Perform high-level mathematical computations using the NumPy and SciPy packages and their large library of mathematical functions
  • Perform data analysis and manipulation using data structures and tools provided in the Pandas package
  • Gain an in-depth understanding of supervised learning and unsupervised learning models such as linear regression, logistic regression, clustering, dimensionality reduction, K-NN, and pipeline
  • Use the Scikit-Learn package for natural language processing and matplotlib library of Python for data visualization

The 1-on-1 Advantage

Methodology

Flexible Dates

  • • Choose Start Date
  • • Reschedule After Booking
  • • Weekend / Evening Option

4-Hour Sessions

You will learn:

Module 1: Introduction to Data Science
  • Basics of Data Science
  • What and why Data Science
  • Terminology
  • Basics of Machine Learning
  • What and why Machine Learning
  • Applications of Machine Learning
  • Types of Machine Learning
  • Main Challenges of Machine Learning
  • Installation of Anaconda Python Distribution (contd.)
  • Decision Control statements
  • Data Types with Python
  • Operators & Functions
  • Introduction to Scikit Learn
  • Features of Scikit-Learn
  • CONVENTIONS
  • IMPLEMENTATION STEPS
  • Arrays.ipynb
  • Array Reshaping
  • Maths Functions
  • Key Components
  • DATA FRAME
  • Accessing subset of data - rows, columns, filters
  • Introduction to SciPy
  • SciPy Sub Package
  • SciPy Sub Package - Statistics and IO
  • Plotting Histogram
  • Bar Chart
  • Pie Chart
  • SubPlot
  • Numerical Data Plotting
  • Line Plot
  • Categorical Data Plotting
  • Regression Plots
  • Vectors (2D,3D)
  • Dot Product
  • Hyperplane
  • Square, Rectangle
  • Data types and its measures
  • Random Variables,its application with variables
  • Probability-Application with examples
  • Probability distribution with examples
  • Sampling Funnel-why And how
  • WHAT IS STATISTICS
  • BASIC TERMINOLOGIES IN STATISTICS
  • TYPES OF STATISTICS
  • DESCRIPTIVE STATISTICS
  • MEASURE OF CENTRAL TENDENCY ( Mean, median, mode )
  • Measures of dispersion ( Variance,Standard Deviation,Range-its derivation )
  • INFERENTIAL STATISTICS
  • Is your data clean?
  • What is Data Pre processing ?
  • Handling Missing data
  • Handling Categorical data
  • Data cleaning techniques
  • Outliers
  • Linear Discriminant Analysis LDA
  • Principal Component Analysis PCA
  • Introduction
  • 2D Scatter-plot
  • 3D Scatter-plot
  • Univariate, Bivariate and Multivariate
  • Histogram
  • Box-plot
  • Variance, Standard Deviation
  • Introduction
  • Need for Feature Engineering in Machine Learning
  • Steps in Feature Engineering
  • Feature Engineering Techniques
  • Filter
  • Feature Shuffling
  • Feature Importance
  • Confusion Matrix
  • ROC Curve
  • Cross Validation in Machine Learning
  • K fold Cross Validation & Grid search
  • Linear Regression - Mathematical Intuition
  • Programming of Linear Regression in Python-scikit learn
  • Multiple Linear Regression
  • Multiple Linear Regression - Mathematical Intuition
  • Polynomial Regression
  • Support Vector Machines
  • Difference between regression and classification
  • Various Algorithms in Classification
  • Logistic Regression
  • Naive Bayes
  • Ensemble Techniques
  • Unsupervised Learning
  • Types of Unsupervised Learning
  • Applications of Unsupervised Learning
  • Introduction to Clustering Algorithms
  • Types of Clustering Algorithms
  • What is K-Means Clustering?
  • Implementation of K-Means Clustering
  • Improving Models
  • What is Association Rule Mining?
  • Algorithms in Association Rule Mining
  • Implementation of Apriori in Python
  • Natural Language
  • PIPELINE
  • Text Tokenization
Live Online Training (Duration : 72 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.

3400 + If you accept merging of other students.
4 Hours
8 Hours
Ultra-Fast Track
Week Days
Weekend

Start Time : At any time

12 AM
12 PM

1-On-1 Training is Guaranteed to Run (GTR)
Group Training
2950 Per Participant
Date On Request
Course Prerequisites

There are no formal prerequisites for this course . Though, a basic knowledge of programming will be helpful.

 

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FAQ's


The Fee includes:
  • Courseware
Yes, we do.
Schedule for Group Training is decided by Koenig. Schedule for 1-on-1 is decided by you.
In 1-on-1 you can select your own schedule, other students can be merged but you select the schedule. Choose 1-on-1 if published schedule do not meet your requirement. If you also want a private session, opt for 1-on-1 Public.
In both, you choose the schedule. In public, other participants can join, Private other participants want to join.
Yes, course requiring practical include hands-on labs.
You can buy online from the page by clicking on "Buy Now". You can view alternate payment method on payment options page.
Yes, you can pay from the course page and flexi page.
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We use the best standards in Internet security. Any data retained is not shared with third parties.
You can request a refund if you do not wish to enroll in the course.
To receive an acknowledgment of your online payment, you should have a valid email address. At the point when you enter your name, Visa, and other data, you have the option of entering your email address. Would it be a good idea for you to decide to enter your email address, confirmation of your payment will be emailed to you.
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We do accept all major credit cards from Visa, Mastercard, American Express, and Discover.
Credit card transactions normally take 48 hours to settle. Approval is given right away; however,it takes 48 hours for the money to be moved.
Yes, we do accept partial payments, you may use one payment method for part of the transaction and another payment method for other parts of the transaction.
Yes, if we have an office in your city.
Yes, we do offer corporate training More details
Yes, we do.
Yes, we also offer weekend classes.
Yes, Koenig follows a BYOL(Bring Your Own Laptop) policy.
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.
Buy-Now. Pay-Later option is available using credit card in USA and India only.
You will receive the digital certificate post training completion via learning enhancement tool after registration.
Yes you can.
Yes, we do. For details go to flexi
You can pay through debit/credit card or bank wire transfer.
Dubai, Goa, Delhi, Bangalore.
Yes you can request your customer experience manager for the same.
Yes, fee excludes local taxes.
Yes.
No, it is not included.

Prices & Payments

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Travel and Visa

Yes we do after your registration for course.

Food and Beverages

Yes.

Others

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All our trainers are fluent in English . Majority of our customers are from outside India and our trainers speak in a neutral accent which is easily understandable by students from all nationalities. Our money back guarantee also stands for accent of the trainer.
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Yes, if you send 4 participants, we can offer an exclusive training for them which can be started from Any Date™ suitable for you.