Unlock the power of data

‍Start your journey into the world of data science by mastering the essentials: Python, SQL, and data visualization. These courses are designed to equip you with the foundational skills needed to explore, manipulate, and analyze data. You’ll dive into mathematical concepts, and descriptive statistics, learning to extract meaningful insights from complex datasets. Whether you’re solving business problems or telling stories with data, these courses lay the groundwork for a successful career in data science. By the end, you’ll be confident in your ability to approach data-driven challenges and create impactful visualizations that communicate your findings effectively.

‍

The Bletchley Institute x Flatiron School difference:

• Mentorship by a professional data scientist
• Small group classes (max 5 students)
• 100% online programs

‍

Pre-requisites: No prior experience required. These courses are designed for beginners.

On completion of this program, you may choose to continue on to Data Science Foundations I.

Curriculum

Industry-approved curriculum to support your journey into data science

‍

Introduction to Python - 3 weeks

This introduction to Python course covers essential programming concepts for data science. You'll learn scripting basics, algorithms, and data structures like tuples and dictionaries, and explore Python libraries and functions. The course ends with a project where you'll develop a Python script to analyze data, preparing you to tackle real-world data science challenges.

What you'll learn:

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

‍

Introduction to Data Science - 3 weeks

In this course, you'll dive into data analysis and visualization using Python. You'll learn statistical measures, explore data types, and master techniques with the pandas library. You'll also use Seaborn and Matplotlib for visualization, handling qualitative, quantitative, and multivariate data. The course concludes with a project where you conduct a full exploratory data analysis, applying descriptive analysis and visualization skills, and object-oriented programming principles. By the end, you'll be skilled in data insights, advanced analysis, and effective visualization.

What you'll learn:

• 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

‍

Introduction to SQL - 3 weeks

This course covers SQL, data engineering, database administration, and data analysis. You'll learn math, probability, and statistics for data science and advance your Python skills for data cleaning and analysis. Starting with SQL basics, you'll progress to advanced topics like filtering, ordering, and joining data. The course concludes with a project where you apply SQL queries in a Python environment, demonstrating your understanding of database concepts and preparing you for real-world data science challenges.

What you'll learn:

• 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

‍

Tuition

‍

Upfront

$2,700

‍

Pay as You Go

$3,000

3 monthly payments of $1,000