Digital Workshop Center
Data Analytics Certificate

Data Analytics Certificate

Earn a data analytics certificate today. Step into a new career in 6 months. 

Apply Now

Length & Frequency

6 Months (approx) |  3 sessions per week

Delivery

Online with 100% live instruction

Tuition

$7,995

Scholarships

Available! Avg: $2,000

Why Digital Workshop Center?

Certificate Programs - Avg Salary Increase

average increase in salary of
certificate program students *

Certificate Programs - Average Months to Employment

average months to find
employment after graduation ^

Certificate Programs - Graduation Rate

graduation
rate *

Certificate Programs - Career Coaching and Mentoring

career coaching and
mentoring included

*Profile report data based on 2020-2023 Employment and Wage survey submissions
^Based on 2021-2023 data only | *Based on 2021-2023 data & does not include Blueprint, WP/PS/ILL/ID/ bootcamps or B.Admin data

Data Analytics Certificate Curriculum

Download Program Guide

Module 1 - SQL Fundamentals and Data Retrieval

In Module 1, students get started with understanding how to retrieve data using the SQL language. Explore the basic concepts of a relational database and how to extract data from it. By the end of this module, students will have the ability to pull from a large data set and create a usable recordset of data for analysis.

 

  • Introduction to program overview, data analytics, & SQL
  • Watch Python for Beginners – Learn Python in 1 Hour: https://www.youtube.com/watch?v=kqtD5dpn9C8
  • Watch Python Machine Learning Tutorial (Data Science): https://www.youtube.com/watch?v=7eh4d6sabA0
  • Download Anaconda & Jupyter notebook
  • Overview and Fundamentals. Vocabulary
  • Tools 101: What will be used throughout program
  • Discussion of Project One. The homework for each week will allow students to generate elements of their final project. Project 1 culminates with a presentation to the class.
  • Discussion of Final Project and Portfolios (Due at end of course).
  • Introduction to Databases: Concepts of relational databases, tables, and schema design.
  • SQL Syntax Basics: SELECT, FROM, WHERE, ORDER BY, and LIMIT for data retrieval.
  • JOIN Operations: Understanding INNER JOIN to combine data from multiple tables.
  • Intermediate SQL Techniques
  • Advanced Data Filtering: Utilizing complex WHERE clauses, and logical operators.
  • Aggregate Functions and Grouping: Employing SUM, COUNT, AVG, MIN, MAX, GROUP BY, and HAVING for data summarization.
  • Subqueries and Set Operations: Introduction to nested queries, UNION, INTERSECT, and EXCEPT for advanced data retrieval and manipulation.

Module 2 - Fundamental Python

In Module 2, students take a deep dive in Python and begin programming for data analysis purposes. Understanding how Python can be used for data science and analysis, visualizations, and machine learning. By the end of this module, students will be able to connect dynamic components and define powerful functions to assist with data analysis.

 

  • Overview of Python, Setting up the Environment (ipynb and Google collab)
  • Basic Syntax and Variables
  • Data Types and Operators: (strings, integers, floats, booleans) and basic operators (arithmetic, assignment, comparison, logical operators).
  • Conditional Statements: Using if, elif, and else for decision-making.
  • Loops: for and while loops, iterating over sequences, break, continue, and pass.
  • Basic Data Structures: lists, tuples, sets, and dictionaries – creation, access, and basic methods.
  • Functions: Defining functions, arguments, return values, scope, and simple lambda functions.
  • File Handling: Reading from and writing to files, working with file paths.
  • Error and Exception Handling: Try-except blocks, handling multiple exceptions, finally clause.

Module 3 - Python Pandas data analysis and visualization

In Module 3, students expand on their Python skills by working with Python pandas, a powerful and dynamic data analysis tool.  Adding visualizations and applying across real-world scenarios is paramount to success in data analysis careers.  By the end of this module, students will have worked with Python pandas to solve complex data problems.

 

  • Python pandas, DataFrames, series, reading and writing data
  • Functions, groupby, sorting, indexing
  • Exploratory Data Analysis and data cleaning: handling missing data, duplicates, filtering
  • Pandas join
  • Real-world application of pandas and practice EDA using real world data
  • Pandas visualization
  • Feature engineering: Using pandas in machine learning workflows for data pre-processing
  • Creating basic plots such as histogram, scatterplot, bar charts, line graphs, and boxplot.
  • Customizing graphs using matplotlib, seaborn, altair, plotly, etc. different visualization libraries.
  • Real-world application of visualization

Module 4 - Statistics and SPSS Terminology

In Module 4, you will learn crucial statistics allowing you to properly interpret data distributions, variability, and trends.  Improving these skills allows you to better examine data and make smarter business decisions.  By the end of this module, you will have the frameworks for understanding and analyzing large data sets, recognizing patterns, and improving your data modeling.

 

  • Introduction to Statistics
  • Basic Terminology
    • Descriptive Statistics
    • Measures of Central Tendency
        • Inferential Statistics
        • Hypothesis Testing
        • Confidence Intervals
        • P-Value
        • Probability
        • Random Variables
        • Probability Distributions

        Module 5 - Analysis and Interpretation with Excel

        In Module 5, students explore the complex data analysis tools within Microsoft Excel.  On the job, Excel is still one of the most widely used tools for analysis.  To be job-ready, you have to know how to examine data within the Excel environment with its own functions and features of data manipulation.

         

        • Advanced Data Manipulation and Data Analysis and Reporting and Optimization
        • Complex JOINs: Exploring LEFT, RIGHT, FULL OUTER JOINs, and self joins.
        • Analytical Functions: Applying SQL functions for statistical analysis and moving averages.
        • Pivot and Unpivot Operations: Techniques for data transformation and preparation for reporting.
        • Data Modification: INSERT, UPDATE, DELETE
        • Indexing and Query Performance: Understanding indexes, query planning, and optimization techniques.

        Module 6 -Artificial Intelligence (AI) & Machine Learning

        In Module 6, you will learn the role of AI and machine learning within the data analysis and data science worlds.  Open up the power of AI to help your productivity and add high demand skills to your resume.  Expand your Python libraries with sklearn to improve machine learning algorithms for classification, regression, and clustering.

         

        • Train-test split 
        • Encoding 
        • Linear regression 
        • Logistic regression 
        • Decision tree
        • Random forest tree
        • Svm
        • Naive Bayes 
        • Confusion matrix 
        • L1, L2 Regularization
        • Gridsearch
        • Cross validation
        • K means clustering 
        • Principal component analysis (PCA)
        • Bagging

        Module 7 - Portfolios and Capstone Project

        In Module 7, students have an opportunity to put their finishing touches on their portfolio.  In addition, as students begin to look after graduation and to the next step of their career path, our instructors will provide extensive mentorship on what the job market trends look like, and how to prepare to find work as an anlytics professional.  At the end of this module, students will present their final Capstone project and receive critique from their peers.

         

        • Job hunting skills 
        • Interview prep
        • Portfolio: further planning, review and design portfolios, critiques
        • Final Presentation
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        Data Analytics Certificate

        Yes you can.
        Complete a Data Analytics Certificate Today.

        The Data Analytics Certificate at Digital Workshop Center is a comprehensive approach towards learning problem-solving techniques for analyzing large data sets. Our program teaches you how to write code in Python, implement related Python libraries, utilize artificial intelligence (AI) and machine learning, harness Excel for analysis, and visualize the results.

        Apply Now

        Possible Career Paths

        Data Analytics has increased in value over recent years and according to recent data projections, the market for data analytics professionals is expected to grow from around $7 billion in 2023 to $303 billion by 2030.

        Data Analyst

        Skilled in data visualization and statistical analysis, data analysts collect and interpret data to answer questions, solve problems, and communicate data-driven discoveries.

        Business Analyst

        Skilled in using diagnostic, predictive, and prescriptive analytics, business analysts are experts in identifying business shortcomings and opportunities and developing solutions to improve business processes and performance.

        Marketing Analytics Manager

        Bringing many analytical skills together, a marketing analytics manager is responsible for collecting, analyzing, and using data to improve the effectiveness of marketing campaigns.

        Data Visualization Engineer

        A relatively new career, data visualizers are skilled in designing, developing, and maintaining data visualization systems to create interactive and visually appealing representations of data for quick and easy understanding of complex data sets.

        Over $750k Awarded in Scholarship Funds

        Average award of DWC scholarships is $2,000 for those who qualify.  Apply today for tuition assistance.

        Tech Skills Scholarship

        For those who are unemployed and looking to get into a career in tech

        Women & Tech Scholarship

        For women looking to
        enter or advance in a technology career

        Veterans Skills Scholarship

        For active or retired military service members seeking a tech career

        APPLY FOR SCHOLARSHIP

        Student Success Stories

        Support every step of the way

        Guidance from pre-enrollment to graduation

        Admissions Advisors

        From pre-enrollment through your first day, talk to our advisors to learn all the important details about your program

        Mentoring

        Instructors are here to be your mentor before, during & after class.  Working with an expert as a mentor will help you become industry-ready.

        Student Support

        Our dedicated student affairs manager will be there to help you get your accounts setup, assess your technology, download the proper files and more.

        Career Coaching

        Meet with a career coach to review your updated resume, portfolio & LinkedIn profile, as well as job search and interview techniques.

        Tech Support

        While in your program, if you are stuck and need help you can reach out to our tech support for guidance.  Whether through Slack, email or phone.

        Internships & Alumni

        Sign up for our micro-internship network and explore new opportunities. Our alumni network is also available to all students.

        Tuition

        Data Analytics Certificate

        We want you to focus on your education and career path.  We offer several options help ease the burden of your tuition costs.  Additional scholarships may be available for those who qualify.

        Tuition Net Cost Example

        Program Tuition¹: $7,995

        Average Scholarship Amount²: $2,000

        Amount Financed³: $5,995, as low as $232/month

        3 Easy Ways To Pay

        1. Pay up front & in full
        2. Pay with a traditional loanˆ
        3. Pay with a payment planˆˆ
        Apply Now

        ¹Actual price of program varies.    ²Average award shown as an example only.  Scholarships are reviewed and awarded individually.  Scholarship award amount may vary. No amount of scholarship funding is guaranteed.    ³Subject to lender terms and loan approval. This is not an offer for a loan. These loans are not offered or made by Digital Workshop Center but are made by the loan provider. These terms are representative and may not be the exact terms of your loan.     ˆAvailable to those who qualify and subject to lender terms and loan approval.      ˆˆPayment Plans available to those who qualify and subject to lender terms and payment plan approval.

        Pay Up Front & In Full - $7,995

        Pay for your full tuition and get started today.  Begin the process by completing an enrollment form and attending a required info session.

        Pay With A Traditional Loan - $232/month*

        Traditional Loan: Make full monthly payments during the course and after graduation.

        • $100 application fee
        • Loan period: 31 months
        • Monthly payments: As low as $232/month

        Interest Only Loan: Make interest-only payments while a student, then transition to full payments after graduation.

        • $100 application fee
        • Loan period: 31 months
        • Monthly payments: As low as $52 for the first 8 months, $304 for the next 23 months.

        Deferred Payment Plan (32 months): Make no payments for the first 8 months (interest will still accrue during this time).

        • $100 application fee
        • Loan period: 32 months
        • Monthly payments: $0 during the first 8 months, as low as $324 for the next 24 months.

          *Provided by Climb Credit.  Example tuition provided is an estimate only based on a $7,995 base tuition less a $2,000 scholarship.  Scholarships are not guaranteed and subject to application approval.  Subject to lender terms and loan approval. This is not an offer for a loan. These loans and payment plans are not offered or made by Digital Workshop Center School but are made by the loan provider. These terms are representative and may not be the exact terms of your loan.
          Loans and payment plans are available only to those who qualify, you can apply for an educational loan through our financing partners. Students who qualify can get a loan for the tuition amount, minus deposit and scholarships.

          Pay With A 0% Interest Payment Plan - $500/month*

          0% Interest Payment Plan (12 months): Make payments at the start of your program and throughout your enrollment.

          • $100 application fee
          • Loan period: 12 months
          • Monthly payments: $500 for 12 months.

          *Provided by Climb Credit.  Example tuition provided is an estimate only based on a $7,995 base tuition less a $2,000 scholarship.  Scholarships are not guaranteed and subject to application approval.   Subject to lender terms and loan approval. This is not an offer for a loan. These loans are not offered or made by Digital Workshop Center School but are made by the loan provider. These terms are representative and may not be the exact terms of your loan.
          Loans and payment plans are available only to those who qualify, you can apply for an educational loan through our financing partners. Students who qualify can get a loan for the tuition amount, minus deposit and scholarships.

          Employer Tuition Assistance

          Many employers offer employer tuition assistance programs.  Contact your employer to find out if they can help you with the cost of your tuition to advance your career to the next level.

          Over $750k Awarded in Scholarship Funds

          At Digital Workshop Center, we offer three accessible scholarships to help you take the next step of your career.

          Learn More

          Frequently Asked Questions

          When can I start?

          Program cohorts begin quartlery (Jan, Apr, July, Oct). All programs follow a specific schedule of dates/times.  Classes are 100% synchronous with a live instructor and attendance is mandatory.

          IMPORTANT: Required Pre-Class Assignments

          Prior to the start of class, each student is required to:

          1. Python for Beginners – Learn Python in 1 Hour: https://www.youtube.com/watch?v=kqtD5dpn9C8
          2. Python Machine Learning Tutorial (Data Science): https://www.youtube.com/watch?v=7eh4d6sabA0
          3. Download Anaconda, Jupyter notebook by following the second YouTube video.
           

           

          Getting Started: More Useful Resources

          The following are helpful for understanding statistics and Python.  These are not required but recommended.

          To review statistics concepts, you can watch the following statistics videos by StatQuest with Josh Starmer:

          If you are new to Python and want to have a stronger understanding of the fundamentals, you can watch the following Python videos by Corey Schafer. Lessons 1-9 in this playlist:

          Pre-requisites

          • Comfortable with data structures, spreadsheets, and data analysis tools like MS Excel.
          • Students entering this program should have knowledge of basic programming concepts such as variables, functions, and data types.
          • It is recommended, but not required, to have experience with applications of programming in a business environment.
          • (Important: See Pre-Class Assignments required before first class session)

          It is also required that you have purchased and installed the full Microsoft Office Suite before the start of your first class.  Refer to the System Requirements page for more details.

          How long is this program?

          The average length to complete the Data Analytics Certificate program is 6 months.

          This program is comprised of course work and a Capstone project.  Once you have completed all the necessary course work, you will earn your certificate.

          What's included?

          Each Certificate Program is comprised of course work and a comprehensive Capstone Project.

          Support and mentoring a huge part of all of our full length programs.  Your instructor will be there as your mentor every step of the way through the program.

          All materials including textbooks are included in your tuition cost.

          All data files will be provided as needed.

          Enrollment includes access to tech support via Slack, phone or email.  Additionally, each student has access to career coaching and more.

          Attend an upcoming info session to speak to a student advisor and learn more details of this program.

          Payment & financial aid options

          DWC offers several flexible financial aid options including payment plans and traditional loans to help you finance your education.

          We partner with Climb Credit to offer several flexible payment plan options that fit your monthly budget.

          If you are interested in scholarship or financial aid opportunities, attend an upcoming info session to speak to a student advisor and learn more.

          Homework expectations

          Homework varies from class to class, instructor to instructor.  It is recommended that you set aside 1-2x the class duration for homework/assignments (e.g. if in class 7 hours per week, expect 7-14 hours needed to complete homework/assignments).  

          What career services or internships do you offer?

          For full length programs, support and mentoring is included and you will be eligible to work one-on-one with a career coach.

          Workshops for job search and resume writing are included in the cost of your program.  Our expert career coaches will help you prepare for the next steps of your career path.  Your success is our success.

          Click here to learn more about career coaching

          DWC also partners with Parker-Dewey to offer micro-internships to our students.  These project-based internships are a great way for students to build real-world experience.  Learn more

          Attend an upcoming info session to speak to a student advisor and discuss career coaching & internship options today.

          Terms & conditions

          Enrollment in all programs requires each student to read and agree to our Terms and Conditions before you register.

          Still curious?

          If you have more questions, view the full FAQ page or contact us today.

          Transform Your Career in Just 3 Simple Steps

          1. Easy Enrollment

          Begin your journey effortlessly with our straightforward online application. It’s fast, easy, and your first step towards a brighter future.

          2. Discover the Digital Workshop Center Difference

          Experience our unique approach before you commit. Attend our mandatory program orientation to get a feel for our hands-on, practical teaching style.

          3. Adapt Learning to Your Life

          We offer accommodating class schedules and a variety of financial options to ensure our courses fit into your life, not the other way around.

          Get Started Today!

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