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Python for Data Science
Data Analysis with Python
Data Visualization with
python
Information Technology Solutions
Object Automation Software Solutions Pvt.
Ltd.
Python for Data Science
ABOUT THE COURSE
The course covers the
concepts and tools you need
throughout the entire data
science pipeline, In the final
project, you’ll apply the skills
learned by building a data
product using real-world data.
At completion, students will
receive IBM Badge with the
completion certificate.
PERFORMANCE
EVALUATION
Every specialization includes a
hands-on performance
evaluation. You’ll need to
successfully clear the
evaluation process to complete
the specialization.
PYTHON FOR DATA SCIENCE
Module 1 - Python Basics
 Your first program
 Types
 Expressions and Variables
 String Operations
Module 2 - Python Data Structures
 Lists and Tuples
 Sets
 Dictionaries
Module 3 - Python Programming Fundamentals
 Conditions and Branching
 Loops
 Functions
 Objects and Classes
Module 4 - Working with Files in Python
 Reading files
 Writing files
 Working with and Saving data
technology
consulting
RECOMMENDED SKILLS
None
TIME TO COMPLETE
30 HOURS
SERVICE AVAILABLE
Technical Support
Installation and Setup
Maintenance
Application Support
Hardware Support
Guaranteed Warranty
For more information or services
please visit us on the Web at:
www.object-a
DATA VISUALIZATION WITH PYTHON
Module 1 - Introduction to Visualization Tools
 Introduction to Data Visualization
 Introduction to Matplotlib
 Basic Plotting with Matplotlib
 Dataset on Immigration to Canada
 Line Plots
Module 2 - Basic Visualization Tools
 Area Plots
 Histograms
 Bar Charts
Module 3 - Specialized Visualization Tools
 Pie Charts
 Box Plots
 Scatter Plots
 Bubble Plots
Module 4 - Advanced Visualization Tools
 Waffle Charts
 Word Clouds
 Seaborn and Regression Plots
RECOMMENDED SKILLS
None
TIME TO COMPLETE
2 HOURS
EARN A CERTIFICATE
When you finish every modules
and complete the performance
evaluation, you’ll earn a
certificate.
SERVICE AVAILABLE
Technical Support
Installation and Setup
Maintenance
Application Support
Hardware Support
Guaranteed Warranty
For more information or services
please visit us on the Web at:
www.object-automation.com
DATA ANALYSIS WITH PYTHON
Module 1 - Importing Datasets
 Learning Objectives
 Understanding the Domain
 Understanding the Dataset
 Python package for data science
 Importing and Exporting Data in Python
 Basic Insights from Datasets
Module 2 - Cleaning and Preparing the Data
 Identify and Handle Missing Values
 Data Formatting
 Data Normalization Sets
 Binning
 Indicator variables
Module 3 - Summarizing the Data Frame
 Descriptive Statistics
 Basic of Grouping
 ANOVA
 Correlation
 More on Correlation
Module 4 - Model Development
 Simple and Multiple Linear Regression
 Model Evaluation Using Visualization
 Polynomial Regression and Pipelines
 R-squared and MSE for In-Sample
Evaluation
 Prediction and Decision Making
RECOMMENDED SKILLS
None
TIME TO COMPLETE
20 HOURS
SERVICE AVAILABLE
Technical Support
Installation and Setup
Maintenance
Application Support
Hardware Support
Guaranteed Warranty
For more information or services
please visit us on the Web at:
www.object-automation.com
technology
consulting
Object Automation Software Solutions Pvt.
Ltd.

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Python Data Science Specialization

  • 1. Python for Data Science Data Analysis with Python Data Visualization with python Information Technology Solutions Object Automation Software Solutions Pvt. Ltd. Python for Data Science ABOUT THE COURSE The course covers the concepts and tools you need throughout the entire data science pipeline, In the final project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will receive IBM Badge with the completion certificate. PERFORMANCE EVALUATION Every specialization includes a hands-on performance evaluation. You’ll need to successfully clear the evaluation process to complete the specialization. PYTHON FOR DATA SCIENCE Module 1 - Python Basics  Your first program  Types  Expressions and Variables  String Operations Module 2 - Python Data Structures  Lists and Tuples  Sets  Dictionaries Module 3 - Python Programming Fundamentals  Conditions and Branching  Loops  Functions  Objects and Classes Module 4 - Working with Files in Python  Reading files  Writing files  Working with and Saving data
  • 2. technology consulting RECOMMENDED SKILLS None TIME TO COMPLETE 30 HOURS SERVICE AVAILABLE Technical Support Installation and Setup Maintenance Application Support Hardware Support Guaranteed Warranty For more information or services please visit us on the Web at: www.object-a DATA VISUALIZATION WITH PYTHON Module 1 - Introduction to Visualization Tools  Introduction to Data Visualization  Introduction to Matplotlib  Basic Plotting with Matplotlib  Dataset on Immigration to Canada  Line Plots Module 2 - Basic Visualization Tools  Area Plots  Histograms  Bar Charts Module 3 - Specialized Visualization Tools  Pie Charts  Box Plots  Scatter Plots  Bubble Plots Module 4 - Advanced Visualization Tools  Waffle Charts  Word Clouds  Seaborn and Regression Plots RECOMMENDED SKILLS None TIME TO COMPLETE 2 HOURS EARN A CERTIFICATE When you finish every modules and complete the performance evaluation, you’ll earn a certificate. SERVICE AVAILABLE Technical Support Installation and Setup Maintenance Application Support Hardware Support Guaranteed Warranty For more information or services please visit us on the Web at: www.object-automation.com DATA ANALYSIS WITH PYTHON Module 1 - Importing Datasets  Learning Objectives  Understanding the Domain  Understanding the Dataset  Python package for data science  Importing and Exporting Data in Python  Basic Insights from Datasets Module 2 - Cleaning and Preparing the Data  Identify and Handle Missing Values  Data Formatting  Data Normalization Sets  Binning  Indicator variables Module 3 - Summarizing the Data Frame  Descriptive Statistics  Basic of Grouping  ANOVA  Correlation  More on Correlation Module 4 - Model Development  Simple and Multiple Linear Regression  Model Evaluation Using Visualization  Polynomial Regression and Pipelines  R-squared and MSE for In-Sample Evaluation  Prediction and Decision Making RECOMMENDED SKILLS None TIME TO COMPLETE 20 HOURS SERVICE AVAILABLE Technical Support Installation and Setup Maintenance Application Support Hardware Support Guaranteed Warranty For more information or services please visit us on the Web at: www.object-automation.com technology consulting Object Automation Software Solutions Pvt. Ltd.