Data Science Training
course in Seattle

Take a step ahead for progressive career growth in Data Science by enrolling on a Data Science training course in Seattle. This Data Science course has been specially curated to match your skill set and learning requirements. Gain hands-on experience with real-world data sets and learn how to use the tools and techniques. Be ready to confidently overcome the challenges of real-world projects with this Data Science certification course in Seattle.

Data Science Course in Seattle Key Highlights

Data Science Course in Seattle Key Highlights

Best Trainers
Best Trainers
Learn from qualified Data Science professionals
Career Guidance
Career Guidance
Experience complete assistance and support for career growth
Targeted Curriculum
Targeted Curriculum
The course has been designed to target professionals and freshers
Self-paced Learning
Self-paced Learning
Get complete flexibility while learning and access the course in your comfort
Demo Classes
Demo Classes
Access the demo classes before enrolling for the Data Science course

Course Overview

The course curriculum of a Data Science training programme is the DNA of the Pickl.AI Data Science certification course. The curriculum has been specially curated by data science professionals with years of experience developing complex models that have helped the organisation gain strategic benefits. The Pickl.AI Data Science training course in Seattle exposes you to all the core concepts of Data Science. From fundamental knowledge to practical applications of Data Science tools and techniques, you will learn everything as a part of this curriculum.

Pickl.AI Data Science training course in Seattle encompasses concepts of Python programing, data vizualization tools, Machine Learning and other related concepts.

1,50,00025% Off

₹2,00,000

*Price after exclusive Pickl.AI discounts. Please get in touch for further details.

Data Science Course in Seattle Key Highlights
Pickl’s Data Science Online Course in the Seattle

Pickl’s Data Science Online Course in the Seattle

8 Modules • 85 Lessons

The Data Mindset

Introduction to Data Analysis
Preview 26:04
Anatomy of Data
Preview 33:88
Tools for Analyzing Data - Excel
52:12
Tools for Analyzing Data - SQL
88:94

Python

Introduction to Python
20:61
Basics of Python
104:20
In built Data Structures in Python
66:51
Strings
55:74
List and Dictionary Comprehension
22:88
Functions
45:97
Object Oriented Programming
45:83
Working with Files
20:73
Exception Handling
34:33
Numpy
103:83
Pandas
185:29
Visualization
61:48
Installation of VS Code
5:43

Introduction to Statistics

Intro to Statistics
7:00
Types of Variables
7:00
Measures of Central Tendency & Spread
11:00
Measuring Position
5:00
Histograms
5:00
Types of Distributions
5:00
Normal Distribution
15:00
Central Limit Theorem
12:00
Confidence Intervals
7:00
T-Distribution
7:00
Hypothesis Testing
16:00
Examples of Hypothesis Testing
5:00
Tutorials
12:05

Fundamentals of Machine Learning

Introduction
29:00
Learning process
22:00
EDA_FE
31:00
Feature Selection
13:00
How a Model Learns
9:00
Measuring Performance
7:20
Model Performance
11:50
Bias-Variance
15:00
Visualization
27:50
Feature Engg Demo
25:00
Feature Scaling
13:00

Supervised Learning 1

Introduction to Linear Regression
15:00
Model Training - Linear Regression
17:00
Model evaluation - Linear Regression
11:00
Regularisation - Linear Regression
16:00
Assumptions of Linear Regression
11:00
Locally weighted Linear Regression
10:00
Demonstration - Linear Regression
11:00
Introduction to Logistic Regression
14:00
Model Training - Logistic Regression
15:00
Model Evaluation - Logistic Regression
16:00
Demonstration - Logistic Regression
13:00
Multiclass Classification
13:00

Supervised Learning 2

Intro to Decision Trees
27:00
Classification Trees
5:00
Bagging
12:00
Boosting
12:00

Unsupervised Learning

K-means Clustering
16:00
Demo-K-Means
16:00
Hierarchial Clustering
13:00
Association rule mining
19:00
Demo-Association Rule Mining
16:50
Recommendation Systems
16:50

Business Intelligence-Tableau

Introduction to Tableau
42:58
Basics of Tableau
61:91
Tableau Calculations
101:49
Essential Charts
66:69
Filters in Tableau
55:90
Sets, Groups & Clusters
59:74
Introduction to Advanced Concepts
63:04

Data Science Course in Seattle FAQ's

If we have to pick one of the most lucrative job opportunities, then Data Science tops the list. As per the Harvard business review, Data Science is one of the top-rated career opportunities. It is expected that by 2026 there will be a 26% rise in Data Science employment opportunities. Some of the popular job roles are:

  • Database Manager
  • Business Analyst
  • Data Scientist
  • Data Engineer
  • Machine Learning Engineer

To excel as Data Scientist, you need to master both technical and non-technical skills sets. These are highlighted below:

Technical skill sets

  • Programming languages like Python, R, C, C++
  • Statistics
  • Machine Learning
  • Big Data
  • Knowledge of SAS and other analytical tools

Non-technical skill sets

To become a successful Data Scientist, you not only need to develop technical skills but even excel at non-technical skills like:

  • Good communication skills
  • Leadership qualities
  • Decision making
  • Great at data intuition

Pickl.AI Data Science certification course in Seattle has been developed to incorporate all these aspects, making it a complete learning module for Data Science aspirants.

Pickl.AI has always focused on incorporating all the skillsets, tools and techniques to help you become a professional Data Scientist. The Data Science certification course not only focuses on enhancing the knowledge and fundamentals of Data Science but also on nurturing additional skills that make an individual job ready. Hence if you are looking for one of the best Data Science certification courses, this is the right time to enrol for the Pickl.AI Data Science training course in Seattle

As a part of its module, you will:

  • Get comprehensive knowledge of the data science tools and techniques
  • Develop technical and non-technical skills
  • Work on real-world projects and derive insights from real-world data sets
  • Data science boot camps where you can prepare projects
  • Get job ready by creating a strong portfolio encompassing data science projects

One of the primary reasons for Pickl.AI to introduce a Data Science training course in Seattle is to create a program that satisfies the knowledge requirement of every data enthusiast. Today data is impacting every domain. Individuals who are college pass out or even working professionals are exploring avenues related to Data Science. So even if you have no coding experience, Pickl.AI offers Data Science training for beginners, specifically designed for Data Science enthusiasts.

You can find different platforms providing online Data Science training program and bootcamps. The average fee for a Data Science course in Seattle would be between $21,000 to $75,000 per annum.

Data Scientists earn well, in Seattle, the average yearly salary of Data Scientist is $112,527.

Pickl.AI's Data Science training course Will help you master the core concepts of Data Science. Besides, working on a real wall project will make your learning more impactful. As a part of the Data Science certification course in Seattle, you will learn the following:

  • About the core concepts of the Data Science domain
  • The roles and responsibilities of a Data Scientist
  • How to deploy data transformation and visualisation techniques
  • Set of filtration and Data Cleansing
  • Data Analytics, Predictive Analytics and Data Modelling

When you start exploring the Pickl.AI platform, you will find tailored Data Science courses specifically targeting the knowledge requirements of individual skill sets. You can enrol for the following courses:

Moreover, Pickl.AI has a Data Science certification course for every individual. Some of the Data Science training programs for which you can enrol with Pickl.AI are:

  • Pickl.AI’s Data Science certification course for beginners
  • Data Science certification course for working professionals
  • Mid-level Data Science course by Pickl.AI
  • Data-Driven mindset course
  • Python Programming
Applauding our Excellence

What Our Students Have to Say

Explore success stories and growth journeys shared by those who've firsthand experienced the transformative impact of our courses

Being a Data Science enthusiast, I always wanted to explore more about the use of Data Science. And with Pickl.AI's Radicl Machine Learning program, I learned about the core concept of Machine Learning.
Kashvi Verma

Kashvi Verma

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Sneh Chiripal

Sneh Chiripal

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Harshita Taneja

Harshita Taneja

I had been looking for a Machine Learning course for non-tech people and learned about Pickl.AI.
Sahil Singh

Sahil Singh

As a professional, I understand that upskilling oneself is important to stay ahead of the competition. With Pickl.AI, I upskilled and upgraded my knowledge of the new Machine Learning tools.
Aaditya Singh

Aaditya Singh

Data Science specialization can help in excelling in one's career, and Pickl.AI ensures that we take the best step forward. After completing this ML course, I feel more confident to take the best step forward in my professional journey.
Shivangi Kochhar

Shivangi Kochhar