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Data Science Essentials

Learn data science with industry-leading programs and mentorship by expert data scientists who have helped thousands of people launch technical careers.

$ 2,580.00 USD

$ 2,868.00 USD
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Data Science Essentials

Course Features

Qualification

Certificate

Duration

9 weeks

Commitment

20 hrs weekly

Skill Level

Beginner

Delivery

Weekly mentorship, feedback, and support

Start Date

August 19, 2024

Led By

Experienced industry mentors

Features

Flexible schedules and small class sizes (5 max)

Value

Affordable high-quality education
Best-in-class curriculum powered by Flatiron School
Experienced industry mentors
Flexible schedules and small class sizes (5 max)
Affordable high-quality education

Learn the fundamentals of data science

Take the first step towards your career as a data scientist

This hands-on program is for aspiring data scientists who want to learn how to work with data and AI in the technology industry. Under the guidance of your industry mentor, you'll learn data science fundamentals using Python and SQL to distill messy, real-world datasets into analytical insights and create interactive data visualizations.

Why study data science with Bletchley powered by Flatiron School:

  • Learn to analyze and visualize data even without prior knowledge
  • Gain confidence using industry-standard languages like Python and SQL
  • Be mentored by a world-class data scientist
  • Small group classes (max 5 students)

Over the course of 9 weeks you'll learn the basics of programmatically working with data with Python as well as the essential mathematics, probability, and statistics for data science. By the end of this program, you'll emerge equipped with the skills to gather insights from data, perform advanced data analysis, and effectively communicate your findings through visualizations and descriptive statistics.

You’ll be personally mentored by an industry expert who will show you the latest tools and techniques used by top game studios.

Expect highly personalized mentorship with small class sizes. Classes are 100% online, so you can learn from the comfort of your own home, in your own time.

On completion of this program, you may choose to continue your journey with the full Data Science Foundations program.

Curriculum

Industry-approved curriculum to support your journey into data science

Essentials 1: 3 weeks

Introduction to Python

Objectives 

  • Apply the basics of programming language methodologies to real world scenarios
  • Demonstrate foundational skills for scripting with a programming language, python

This introduction to python course is designed to equip you with essential skills applicable to data science. Throughout this course, you'll delve into fundamental programming concepts starting with scripting basics, understanding compiled vs. interpreted languages, and creating algorithms for simple tasks. You'll explore operators, loops (while and for), and data structures like tuples, lists, dictionaries, and strings. Additionally, you'll learn about libraries and functions, enabling you to leverage Python's extensive ecosystem for complex tasks. This course culminates in a project where you are tasked with developing a Python script to analyze data in a file. By the end of the course, you will have developed your understanding to develop efficient code, and tackle real-world challenges in the technical domain of data science.

Essentials 2: 3 weeks 

Introduction to Data Science

Objectives 

  • Implement foundational statistical measurement with data using scripting
  • Demonstrate gathering insights from data with visualizations
  • Integrate object oriented programming (OOP) with Python for data cleaning and analysis

You will embark on an immersive journey into the world of data analysis and visualization using Python. Throughout this course, you'll learn essential statistical measures, explore different types of data, and master data analysis techniques using the pandas library. You'll delve into data visualization with Python libraries such as Seaborn and Matplotlib, gaining insights into qualitative, quantitative, and multivariate data. The course culminates in a project, wherein you will apply your knowledge to perform a full exploratory data analysis process, demonstrate proficiency in descriptive data analysis and visualization using pandas, and object-oriented programming principles in Python. By the end of this course, you'll emerge equipped with the skills to gather insights from data, perform advanced data analysis, and effectively communicate your findings through visualizations and descriptive statistics.

Essentials 3: 3 weeks

Introduction to SQL 

 

Objectives 

  • Utilize industry standard techniques to analyze data with, programming language (python), structured query language (SQL), and the cloud. 
  • Explore and manipulate data with mathematics, probability, and statistics
  • Analyze data for a business problem with visualizations with a dashboard

This course is designed to equip you with essential skills in structured query language (SQL), data engineering, database administration, and data analysis. Learn the essentials of mathematics, probability, and statistics for data science as well as learn how to perform more advanced data analysis and cleaning with Python. Throughout this course, you'll start by getting familiar with SQL, learning how to connect to databases, and perform basic queries. As you progress, you'll delve into more advanced topics such as filtering, ordering, and grouping data, as well as understanding table relations and implementing joins and subqueries. In the culminating project, you will demonstrate proficiency in SQL by applying queries on a database within a Python environment and reflecting on the database design and outputs. This project serves as a practical assessment of your ability to conceptually apply SQL knowledge and understanding of database concepts, preparing you for real-world data science challenges.

*This short program is a prerequisite to the full Data Science Foundations program. It will round out your data science skill set, build a professional portfolio, and prepare you to launch a career in data science.

Tuition

Flexible small group class are the best way to learn from top industry mentors in a fun, collaborative environment, while still getting plenty of personalized feedback.

Upfront - Save 10%

$2,580

Pay as You Go

$2,868

3 monthly payments of $956

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Essentials + Foundations Bundle

Add Data Science Foundations and save up to 20%

We understand the unique needs of students pursuing careers in the technology industry. That's why we offer curated program bundles that align with specific career paths or skill development goals. These bundles are designed to provide comprehensive training while offering cost savings compared to enrolling in individual programs.

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Course Mentors

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Data Science Essentials FAQs

Learn more

What are the prerequisites for the essentials program?

For this program, you will need basic computer skills and a computer that meets the minimum specifications.

What are the software and hardware requirements for the essentials program?

Software:

Visual Studio will be used in this program and can be downloaded for free.

Hardware:

Students will need a computer that meets the minimum requirements for Visual Studio 2022.

What are the software and hardware requirements?

Software:

Visual Studio will be used in this program and can be downloaded for free.

Hardware:

Students will need a computer that meets the minimum requirements for Visual Studio 2022.

Will I earn a certificate or some other credential when I graduate from the essentials program?

Yes! When you pass this program, you’ll receive a signed certificate of completion. Thousands of our community members use their program certificate to demonstrate skills to potential employers — including our hiring partners — along with their LinkedIn networks. Bletchley and Flatiron School’s programs are well-regarded by many top employers, who contribute to our curriculum, hire our community, and partner with us to train their own teams.

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