Data Science with Python Training in Washington

Name: Data Science with Python Certification Course
Item: Data Science with Python Certification Course
Rating: 5
Author: Sujit Samal

Module 1: Introduction to Python for Data Science

Topics:

Set operations
List comprehensions
Generator functions
Using modules
Regex patterns
Special collections
Map & filter
Custom exceptions

Hands-On/Demo:

Writing a “Hello World” script
Manipulating lists and dictionaries
Reading a CSV file

Skills:

Python programming
Data science environment setup

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Module 2: Working with Python Programming

Topics:

OOP concepts
Class inheritance
Context managers
Unit testing
API requests
Code profiling
Logging basics
JSON handling
Project packaging
Type hints

Hands-On/Demo:

Using regex for data cleaning
Creating a generator
Building a custom module

Skills:

Intermediate Python techniques
Efficient code structures

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Module 3: Advanced Python Programming for Data Science

Topics:

NumPy arrays
Vector operations
Math functions
Series handling
DataFrames
Dataset merging
Missing values
Pivot tables
Data summaries
Memory tuning

Hands-On/Demo:

Building a preprocessing class
Fetching API data
Writing a unit test

Skills:

Advanced Python programming
Modular code developmen

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Module 4: Data Analysis with NumPy and Pandas

Topics:

NumPy arrays
Vector operations
Math functions
Series handling
DataFrames
Dataset merging
Missing values
Pivot tables
Data summaries
Memory tuning

Hands-On/Demo:

NumPy array calculations
Cleaning data with Pandas
Creating a pivot table

Skills:

Data manipulation
Basic statistical analysis

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Module 5: Data Visualization and Preprocessing Techniques

Topics:

Matplotlib Plotting
Seaborn Visualization Styles
Line and Bar Charts
Histogram Analysis
Web Scraping Basics
Missing Data Treatment
Feature Scaling Techniques
Encoding Categorical Data
Data Storytelling Approaches

Hands-On/Demo:

Creating Seaborn plots
Scraping website data
Normalizing a dataset

Skills:

Data visualization
Data preprocessing

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Module 6: Statistical Methods for Data Science

Topics:

Descriptive stats
Variance and standard deviation
Probability
Normal distribution
Hypothesis testing: t-tests
Correlation: Pearson coefficient
Outlier detection: z-score
Sampling: random sampling
Statistical visualization
P-values: significance

Hands-On/Demo:

Conducting a t-test
Visualizing correlations
Detecting outliers

Skills:

Statistical analysis
Result interpretation

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Module 7: Fundamentals of Machine Learning

Topics:

CRISP-DM process
ML categories
Python for ML
ML tools
Data lifecycle
Evaluation
Feature basics
AI ethics
Industry insights

Hands-On/Demo:

Setting up an ML project
Exploring a dataset

Skills:

ML workflows
Industry trends

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Module 8: Supervised Learning – Regression Analysis

Topics:

Linear regression
Gradient descent
Polynomial regression
Ridge regression
Error metrics
R-squared
Cross-validation
Residual analysis
Feature selection
Overfitting mitigation

Hands-On/Demo:

Building a linear regression model
Evaluating with RMSE

Skills:

Regression modeling
Model evaluation

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Module 9: Supervised Learning – Classification Fundamentals

Topics:

Logistic regression
Binary labels
Decision trees
Confusion matrix
Precision & recall
ROC curve
Overfitting
Feature ranking
Model validation
Class imbalance

Hands-On/Demo:

Logistic regression model
Decision tree visualization

Skills:

Binary classification
Evaluation metrics

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Module 10: Supervised Learning – Advanced Classification

Topics:

Random forests
SVM
XGBoost
Grid search
Random search
SHAP values
SMOTE
Model stacking
Association rules
Recommendation engines
Model evaluation

Hands-On/Demo:

Random Forest model
Using SHAP for insights
Building Apriori rules

Skills:

Advanced classification
Interpretability, recommendations

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Module 11: Unsupervised Learning and Clustering Techniques

Topics:

K-Means clusters
Elbow method
Hierarchical clustering
DBSCAN logic
PCA reduction
Anomaly detection
Silhouette score
Segmentation use
Cluster visuals

Hands-On/Demo:

K-Means clustering
Applying PCA
Detecting anomalies

Skills:

Unsupervised learning
Dimensionality reduction

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Module 12: AutoML and No-Code Data Science Solutions

Topics:

AutoML tools
DataRobot
KNIME workflows
H2O.ai models
Synthetic data
Rapid prototyping
AI fairness

Hands-On/Demo:

DataRobot model building
KNIME workflow creation
Generating synthetic data

Skills:

AutoML prototyping
No Code workflows

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Module 13: Reinforcement Learning Essentials (Self-paced)

Topics:

Agent-Environment Interaction
OpenAI Gym Setup
Markov Decision Process
Q-Learning Fundamentals
Exploration-Exploitation Tradeoff
Epsilon-Greedy Strategy
Reward Shaping Concepts
Reinforcement Learning Applications
Q-Table Implementation
Reinforcement Learning Limitations

Hands-On/Demo:

Q-Learning in a game
OpenAI Gym experiment

Skills:

RL algorithms
Practical applications

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Module 14: Time Series Analysis and Forecasting Methods (Self-paced)

Topics:

Time Series Components
Stationarity Testing (ADF)
ARIMA Model Parameters
Forecasting with Prophet
Forecast Error Metrics
Backtesting Techniques
Trend Visualization Methods
Confidence Interval Analysis
External Variable Integration
Model Selection Strategies

Hands-On/Demo:

ARIMA model
Prophet forecasting
Visualizing trends

Skills:

Time series analysis
Forecasting

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Module 15: Machine Learning on Cloud Platforms (Self-paced)

Topics:

Cloud ML Introduction
AWS SageMaker
Google Cloud AI
Azure ML
Cloud storage
Serverless ML
Model deployment
Scalability

Hands-On/Demo:

Training a model in SageMaker
Deploying with Google Cloud AI
Using S3 for data storage

Skills:

Cloud-based ML
Scalable model deployment

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Module 16: MLOps Fundamentals (Self-paced)

Topics:

MLOps Introduction
CI/CD for ML
Flask API Deployment
MLflow Model Tracking
Docker Containerization
Model Drift Monitoring
Model Lifecycle Management

Hands-On/Demo:

Deploying with Flask
MLflow pipeline setup

Skills:

MLOps practices

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Why Learn Python for Data Science in Washington?

description:Python has been one of the premier, flexible, and powerful open-source languages that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis. For over a decade, It has been used in scientific computing and highly quantitative domains such as finance, oil and gas, physics, and signal processing. It's continued to be a favourite option for data scientists who use it for building and using Machine learning applications and other scientific computations. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging programs is a breeze in Python with its built in debugger. It has evolved as the most preferred Language for Data Analytics and the increasing search trends also indicate that it is the Next Big Thing and a must for Professionals in the Data Analytics domain.

Why Learn Python for Data Science in Washington?

Python has been one of the premier, flexible, and powerful open-source languages that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis. For over a decade, It has been used in scientific computing and highly quantitative domains such as finance, oil and gas, physics, and signal processing. It's continued to be a favourite option for data scientists who use it for building and using Machine learning applications and other scientific computations. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging programs is a breeze in Python with its built in debugger. It has evolved as the most preferred Language for Data Analytics and the increasing search trends also indicate that it is the Next Big Thing and a must for Professionals in the Data Analytics domain.

About Data Science with Python Certification Course in Washington

Edureka’s Data Science with Python Certification Training in Washington is designed to make you grasp the concepts of Data Science and Machine Learning. As a data scientist, you will learn the importance of machine learning and its implementation in the Python programming language. You will be able to automate real-life scenarios using machine learning algorithms, and towards the end of this course, we will be discussing various practical use cases of machine learning with the Python programming language to enhance your learning experience. Edureka offers the best Data Science with Python training online for those who want to be the best in Python. Enroll now in Edureka's online Data Science with Python Certification to get trained by industry experts.

What are the objectives of our Data Science with Python Training in Washington?

After completing this Data Science using Python Certification course in Washington, you will be able to:

Programmatically download and analyze data
Learn techniques to deal with different types of data – ordinal, categorical, encoding
Learn data visualization
Using I python notebooks, master the art of presenting step by step data analysis
Gain insight into the 'Roles' played by a Machine Learning Engineer
Describe Machine Learning
Work with real-time data
Learn tools and techniques for predictive modeling
Discuss Machine Learning algorithms and their implementation
Validate Machine Learning algorithms
Perform Text Mining and Sentimental analysis
Explain Time Series and its related concepts
Gain expertise to handle business in future, living the present

Edureka offers the best online course for Python Data Science. Enroll now with our data Science with Python training and get a chance to learn from industrial giants.

What are the objectives of our Data Science with Python Training in Washington?

After completing this Data Science using Python Certification course, you will be able to:

Programmatically download and analyze data
Learn techniques to deal with different types of data – ordinal, categorical, encoding
Learn data visualization
Using I python notebooks, master the art of presenting step by step data analysis
Gain insight into the 'Roles' played by a Machine Learning Engineer
Describe Machine Learning
Work with real-time data
Learn tools and techniques for predictive modeling
Discuss Machine Learning algorithms and their implementation
Validate Machine Learning algorithms
Perform Text Mining and Sentimental analysis
Explain Time Series and its related concepts
Gain expertise to handle business in future, living the present

Edureka offers the best online course for Python Data Science. Enroll now with our data Science with Python training and get a chance to learn from industrial giants.

Why Learn Data Science with Python in Washington?

Python has been one of the premier, flexible, and powerful open-source languages that are easy to learn, easy to use, and powerful libraries for data manipulation and analysis. It has been used for over a decade in scientific computing and highly quantitative domains such as finance, oil and gas, physics, and signal processing. It continues to be a favorite option for data scientists who build and use machine learning applications and other scientific computations. Python cuts development time in half with its simple-to-read syntax and easy compilation feature. Debugging programs is a breeze in Python with its built-in debugger. It has evolved into the most preferred Language for Data Analytics. The increasing search trends also indicate that it is the Next Big Thing and a must for professionals in the data analytics domain.

Who should go for this Python Data Science online course in Washington?

Edureka’s course is a good fit for the below professionals:

Programmers, Developers, Technical Leads, Architects
Developers aspiring to be a ‘Machine Learning Engineer'
Analytics Managers who are leading a team of analysts
Business Analysts who want to understand Machine
Learning (ML) Techniques
Information Architects who want to gain expertise in
Predictive Analytics
Professionals who want to design automatic predictive models

What are the objectives of our Data Science with Python Training in Washington?

After completing this Data Science with Python Certification course, you will be able to:

Programmatically download and analyze data
Learn techniques to deal with different types of data – ordinal, categorical, encoding
Learn data visualization
Using python notebooks, master the art of presenting step-by-step data analysis
Gain insight into the 'Roles' played by a Machine Learning Engineer
Describe Machine Learning
Work with real-time data
Learn tools and techniques for predictive modeling
Discuss Machine Learning algorithms and their implementation
Validate Machine Learning algorithms
Explain Time Series and its related concepts
Perform Text Mining and Sentiment analysis

Edureka offers the best online course for Python data science and ML. Enroll now in our Data Science with Python training and get a chance to learn from industry leaders.

What are the prerequisites for this Data Science with Python Training in Washington?

The pre-requisites for Edureka's Python Data Science course training includes the fundamental understanding of Computer Programming Languages. Fundamentals of Data Analysis practiced over any of the data analysis tools like SAS/R will be a plus. However, you will be provided with complimentary “Python Statistics for Data Science” as a self-paced course once you enroll for the Data Science with Python certification course.

Who should go for this Python Data Science and ML online course in Washington?

Freshers, Programmers, Developers, Technical Leads, Architects
Developers aspiring to be a ‘Machine Learning Engineer'
Analytics Managers who are leading a team of analysts
Business Analysts who want to understand Machine Learning (ML) Techniques
Information Architects who want to gain expertise in Predictive Analytics
Professionals who want to design automatic predictive models

What are the prerequisites for this Data Science with Python Training in Washington?

The prerequisites for Edureka's Python Data Science and ML course training include the fundamental understanding of Computer Programming Languages.

How will I execute the practicals in this online Data Science with Python course Washington?

You will do your assignments and case studies using Jupyter Notebook, which is already installed on your Cloud LAB environment (access it from a browser). The access credentials are available on your LMS. Should you have any queries, the 24*7 Support Team will promptly assist you.

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What is Python for Data Science in Washington?

Data is all around us, and data science will help extract the information. Data science has many applications, and python can be used to implement them. Python is a generic language that can be used to build websites, backend APIs, and scripting. Python's built-in libraries, frameworks, and tools can be used to perform various operations in data science.

Why should I learn Data Science with Python Course in Washington?

Python is definitely one of the most popular languages in Data Science, which can be used for data analysis, manipulation, and visualization. It has access to many Data Science libraries, making it the perfect language for developing applications and implementing algorithms.

Where Can I Learn Python for Data Science in Washington?

Although there are many free learning resources available, finding one that teaches data science very well is recommended. You should choose a platform that will teach you interactively and has a curriculum designed to help you along your data science journey. Edureka is one such platform as we offer the best online Data Science with Python course for data science that will take you from beginner to data analyst in Python or data scientist.

Can I learn a Python for Data Science online in Washington?

Technology has made it easier and more efficient to learn online. It allows you to learn at your own pace without any barriers. Edureka's Data Science with Python certification course offers live classes and online access to study material from any location at any time. You will be able to grasp the key concepts quickly with our extensive and growing collection of tutorials, blogs, and YouTube videos. We offer a 24/7 support service to answer any questions you may have after your class ends.

Who are the instructors for the Python Data Science Course in Washington?

All the instructors at edureka! are practitioners from the Industry with minimum 10-12 yrs of relevant IT experience. They are subject matter experts and are trained by edureka for providing an awesome learning experience to the participants of Python Data Science Training.

What is the Data Science with Python Course in Washington duration?

Data Science with Python Course in Washington can take between five and 10 weeks to learn basic Python programming concepts, including object-oriented programming and basic Python syntax. It is important to note that the time it takes for Python programming depends on your experience with web development, data science, and other related fields.

What does a Data Science Expert do?

A Data Science Expert applies statistical, mathematical, and computational techniques to analyze and interpret large and complex datasets to extract insights, make predictions, and inform decision-making. They are skilled in programming languages like Python or R and use various tools and technologies such as machine learning algorithms, data visualization, and database systems to manipulate, process and analyze data. They may work in various industries such as finance, healthcare, marketing, etc.

Why is it essential to learn Data Science with Python course in Washington?

Python is preferred by data scientists over other languages because it has powerful machine learning libraries that can be used to build any machine learning algorithm. This allows for a better understanding of the current performance without sacrificing existing performance. These powerful frameworks allow data scientists to create the right neural networks. Python is the foundation of Google, YouTube and Instagram. It allows for multiple tasks to be automated and the use of these applications in various languages. The code is simple and well-documented. Many organizations are still not adopting a data-centric approach. The market lacks data literacy. To fill this gap in supply, you will need to study data science and its underlying areas by taking python data science training.

Which kind of projects will be a part of this Data Science with Python Certification Course in Washington?

Project Title: Consumer Complaint Resolution

Problem Statement: Predicting which complaints have a higher potential to be disputed and identifying systematic issues can help enhance the quality of communication and satisfactory resolution.

What type of job can I get after completing a Data Science with Python course in Washington?

This is an industry where opportunities are plenty, so once you have the education and qualifications, the jobs are waiting for you. To name a few, some of the most common job titles for data scientists include:

Business Intelligence Analyst
Data Mining Engineer
Data Architect
Data Scientist
Senior Data Scientist

What are the companies hiring Data Scientists in Washington?

There are several companies in Washington that hire Data Scientists. Washington is home to a thriving technology industry, as well as government agencies and research institutions that require Data Science expertise. Some prominent companies known for their presence in the area and hiring Data Scientists include:

Microsoft
Amazon
Boeing
T-Mobile
Expedia Group
Tableau Software (now part of Salesforce)
Nordstrom
Starbucks
Zillow Group
Fred Hutchinson Cancer Research Center

These are just a few examples, and there are many other companies in Washington across various industries that employ Data Scientists.

What is the salary for a Data Scientist in Washington?

the average salary for a Data Scientist in Washington can vary based on factors such as experience, education, industry, and the specific company. However, on average, a Data Scientist in Washington can earn around $100,000 to $160,000 per year.

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Data Science with Python Training in Washington

Why should you take Data Science with Python Training Course in Washington??

Instructor-led Data Science with Python Certification Course live online classes

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Data Science with Python Course in Washington Curriculum

Module 1: Introduction to Python for Data Science

Module 2: Working with Python Programming

Module 3: Advanced Python Programming for Data Science

Module 4: Data Analysis with NumPy and Pandas

Module 5: Data Visualization and Preprocessing Techniques

Module 6: Statistical Methods for Data Science

Module 7: Fundamentals of Machine Learning

Module 8: Supervised Learning – Regression Analysis

Module 9: Supervised Learning – Classification Fundamentals

Module 10: Supervised Learning – Advanced Classification

Module 11: Unsupervised Learning and Clustering Techniques

Module 12: AutoML and No-Code Data Science Solutions

Module 13: Reinforcement Learning Essentials (Self-paced)

Module 14: Time Series Analysis and Forecasting Methods (Self-paced)

Module 15: Machine Learning on Cloud Platforms (Self-paced)

Module 16: MLOps Fundamentals (Self-paced)

Data Science Python Training in Washington Description

Why Learn Python for Data Science in Washington?

Why Learn Python for Data Science in Washington?

About Data Science with Python Certification Course in Washington

What are the objectives of our Data Science with Python Training in Washington?

What are the objectives of our Data Science with Python Training in Washington?

Why Learn Data Science with Python in Washington?

Who should go for this Python Data Science online course in Washington?

What are the objectives of our Data Science with Python Training in Washington?

What are the prerequisites for this Data Science with Python Training in Washington?

Who should go for this Python Data Science and ML online course in Washington?

What are the prerequisites for this Data Science with Python Training in Washington?

How will I execute the practicals in this online Data Science with Python course Washington?

Testimonial Reviews

Video Reviews

Python Data Science Training in Washington FAQs

What is Python for Data Science in Washington?

Why should I learn Data Science with Python Course in Washington?

Where Can I Learn Python for Data Science in Washington?

Can I learn a Python for Data Science online in Washington?

Who are the instructors for the Python Data Science Course in Washington?

What is the Data Science with Python Course in Washington duration?

What does a Data Science Expert do?

Why is it essential to learn Data Science with Python course in Washington?

Which kind of projects will be a part of this Data Science with Python Certification Course in Washington?

What type of job can I get after completing a Data Science with Python course in Washington?

What are the companies hiring Data Scientists in Washington?

What is the salary for a Data Scientist in Washington?

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