Data Science Essentials

Data Science Essentials

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Begin your journey into data science with Python, SQL, and data visualization. This program will lay the groundwork for analyzing data and providing business insights that drive decision-making.

$2,700.00 USD

$3,000.00 USD
30-Day Money-Back Guarantee

Financing and flexible payment options available. Learn more

Next Cohort Date

December 2, 2024
December 2, 2024

Program Features

Qualification

Certificate

Duration

9 weeks

Commitment

20 hrs weekly

Skill Level

Beginner

Delivery

Weekly mentorship, feedback, and support

Start Date

First Monday of each month

Led By

Experienced industry mentors

Features

Flexible schedules and small class sizes (5 max)

Value

Affordable high-quality education

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 SMU 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

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%

$2,700

Pay as You Go

$3,000

3 monthly payments of $1,000

Course Mentors

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Data Science Essentials FAQs

Learn more

Will I earn a certificate or some other credential when I complete the Essentials program?

Yes! Upon the completion of each program in the pathway, you will receive a Credly digital badge from SMU and a certificate from Flatiron School. Digital badges can be used in email signatures or digital resumes, and certificates can be displayed on portfolio websites and social media sites such as LinkedIn, Facebook, and Twitter.

Thousands of our community members use their program certificates and badges to demonstrate skills to potential employers — including our hiring partners — along with their LinkedIn networks. Our curriculum is powered by Flatiron School, whose 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.

Do I need prior experience to enroll in the Essentials program?

Nope! This program is designed for complete beginners - no experience required.

Can I skip the intro program and go directly to the Foundations program?

It is VERY occasionally possible to skip the essentials program and go directly to Foundations I. However, we highly recommend that most students do not skip Essentials as it covers a tremendous amount of information and skills that will be used throughout the entire career pathway program and will require some catching up if skipped.

The essentials program is still difficult and covers a ton of material that is necessary for proceeding in the following programs and won't be reviewed in  Foundations. All of the future program material will build upon the essentials.

If you would like to be considered to enter directly into the Foundations-level programs, you'll be required to submit materials demonstrating your proficiency in the materials covered in the Essentials program.

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