Unlock the power of Python for data-driven decision-making as you master Python programming fundamentals and dive into data analysis. Acquire essential skills to clean and manipulate data, create insightful visualizations, and perform statistical analysis, all through hands-on projects with real-world datasets.
Master Python for data analysis, machine learning, and automation. Build predictive models, create dynamic dashboards, and unleash the power of data visualization. Launch your career in data science and Python engineering, equipped with Python, NumPy, Pandas, and Matplotlib.
Learn to extract information from databases by writing SQL queries, joining tables, aggregating data, and filtering results. You'll learn PostgreSQL in this class, but the concepts apply equally to other databases such as SQL Server and MySQL.
Become proficient in Microsoft Excel and go from beginner to pro with our hands-on Excel Bootcamp. Learn functions, formulas, Pivot Tables, macros, and time-saving techniques to conquer all the key skills needed to excel in Excel.
Learn how to use Tableau, a powerful data visualization tool, to create interactive and aesthetically pleasing charts, graphs, and maps. This course will teach you how to connect to datasets, analyze and structure data, customize visualizations, and publish your work.
Learn how to use Power BI, a powerful data visualization tool, to create interactive and aesthetically pleasing charts, graphs, and maps. Learn how to connect to datasets, analyze and structure data, customize visualizations, and publish reports.
Master the industry-standard tools and programming languages used by Data Analysts, including Excel, SQL, and Tableau, in this comprehensive classroom training program. Gain hands-on experience working on real-world projects and learn to organize, analyze, summarize, and visualize data to present actionable insights.
Learn the fundamentals of data analytics, including descriptive and inferential statistics, and how different industries and organizations use data for forecasting and decision-making. Explore statistical analysis and modeling, including statistical algorithms, theorems, and models.
Learn Python, SQL, automation, and machine learning to become a Data Scientist. Gain Python programming, data analysis, SQL querying, and predictive modeling skills. Perfect for beginners, this program prepares you for entry-level data science and Python engineering roles. Unlock high-paying job opportunities in the field of data science.
Learn the essential skills needed to become a Data Analyst or Business Analyst, including data analysis, data visualization, and statistical analysis. Gain practical experience through real-world projects and prepare for a successful career in the field of data analytics.
In today’s world, everything seems to be run by data. Data powers individual and business decisions by providing insights into trends and patterns we may not have noticed. Data scientists use tools such as Python to collect, organize, analyze, and translate data.
Data science is a field full of possibilities. As the world becomes more connected, the need for data scientists will far outpace other sectors. The competencies you develop as a Data Scientist prepare you to use algorithms, logic, and scientific methods to turn big data into actionable information. Data science is the secret sauce of business intelligence, fueling cost and resource savings and revealing hidden opportunities for improvement.
A certificate or other credential in data science can open doors to careers as a Data Scientist, Machine Learning Engineer, or Data Engineer. These careers average over $100,000 per year, making it easy for you to recoup the investment you made in learning data science. Data scientists are in-demand in the FinTech, healthcare, and artificial intelligence industries, among many others.
The Chicago area is home to numerous in-person data science programs. Practical Programming offers a Python for Data Science Bootcamp and a ||CPN411|| program, which are both available locally in Chicago. General Assembly has a 12-week ||CPN415|| that is held in Chicago and online. The Metis Data Science Bootcamp teaches data wrangling and analysis in their 12-week program.
For those seeking a more abbreviated program, the Data Science Dojo offers a 5-day Data Science Bootcamp, giving a comprehensive introduction to data wrangling and visualization. General Assembly offers a 1-day ||CPN834||: Learning the Language program for beginners.
Live online data science classes are an ideal alternative to in-person classes. This type of training involves synchronous classes guided by instructors in real time to provide a learning experience that rivals in-person learning.
Noble Desktop, the maker of this tool, offers a wide range of live remote data science classes. In addition to the theory behind data science, these classes can help you learn how to use tools such as Tableau and Jupyter Notebooks to create informative data visualizations. It’s important to know best practices for creating visualizations that are impactful and intuitive, and many classes will cover this as well.
Beyond learning data science, you can expand on your skills by attending Noble Desktop’s Python for Data Science Bootcamp or a ||CPN767|| class. Because Python is such a flexible and ubiquitous programming language, you can build on your knowledge of Python acquired in data science and learn how Python is used for visualizations, financial analysis, algorithmic trading, and machine learning. You can even learn how to use Python to automate stock market trading or scrape webpages for data.
You should also check out a full list of virtual data science courses from NYIM Training and data science classes available live online through NYC Career Centers.
If you’re a high school student, NextGen Bootcamp’s virtual data science classes for high school learners might be right for you. These courses cover Python programming and other important areas of knowledge for aspiring data scientists.
If you’re interested in learning data science tools and concepts in a career-oriented setting designed to prepare you for entry-level positions in the field, you may want to think about enrolling in a bootcamp. There are several options for attending a virtual or in-person data science bootcamp in Chicago.
Practical Programming provides in-person data science bootcamps in Chicago. Their Part-Time Data Science Bootcamp and Python for ||CPN415|| both involve substantial training in data analysis using Python, with the former as the more in-depth option. You can also take an in-person bootcamp through Metis, Flatiron School, Northwestern Bootcamps, Coding Temple, General Assembly, or Data Science Dojo. Many of these bootcamps cover similar topics: Python and its packages, JavaScript, data visualization tools, machine learning, and applied statistics.
Virtual data science bootcamps are available from Noble Desktop, Flatiron School, and Thinkful. Noble Desktop’s ||CPN411|| program is an 84-hour program that teaches all the skills you need to become a Data Scientist. Working with Python, a powerful general-purpose programming language, students learn how to work with Python’s scientific libraries, including Pandas, NumPy, and Matplotlib, to analyze data. They will learn how to write effective queries that they can use with SQL.
Noble Desktop offers a selection of onsite and virtual classes for corporate data science training, as well as customized options. These can be delivered over Zoom in a private session or in-person at your company’s offices. Another opportunity for Chicago businesses is to purchase vouchers for employees to attend Noble’s open enrollment data science courses. There is a group discount available when organizations purchase multiple vouchers.
Contact Noble Desktop today to speak with an instructional consultant and design the training that achieves the results you want. You can email Noble Desktop at hello@nobledesktop.com to get started.
Noble Desktop:||CPN411||
Noble Desktop offers a ||CPN411|| program to equip students with the skills necessary for a data science career. The program is accessible at Noble's Manhattan campus or through live online classes, providing real-time instruction in current data science practices. Online and in-person students can interact with instructors for immediate feedback and support.
The curriculum at Noble is focused on career preparation, allowing participants to gain hands-on experience through real-world data science tasks and projects. The program includes personalized career mentorship and opportunities to build a professional portfolio to support their job search. Furthermore, students can retake the course within a year to reinforce their data science expertise.
During the program, students will learn essential data science concepts and their application in data collection and analysis. Coding in Python is a significant aspect of the curriculum, enabling students to efficiently perform data-related tasks. Coursework covers using Python libraries and frameworks for database management and scripting to manage complex queries on sizable datasets. Students will also become skilled in data visualization with tools like Tableau and in the fundamentals of designing machine learning algorithms to automate in-depth analysis tasks. Upon completion, students will thoroughly understand the data science landscape and be ready to pursue careers as Data Scientists.
Data Scientists often focus on specific sectors, with finance and investing being one area that has significantly evolved with the contributions of data science. FinTech, a blend of finance and technology, represents using data science and analytics to solve complex problems in finance and investment. Noble Desktop’s ||CPN509|| program instructs students to apply data analysis tools to make informed financial decisions for businesses or clients. This program is available both online and on-site, offering the hallmark features of a Noble Desktop certificate program such as individualized mentorship from professionals in the industry. Moreover, students can retake the course within a year to enhance their proficiency.
The course starts by acquainting students with basic data science methods, including using software such as Excel and programming in Python. This foundation is applied to finance-specific contexts such as investment analysis, asset management, and financial account oversight. Participants will learn advanced data analytics techniques such as creating complex data visualizations and charts. They will also develop financial literacy, learning to read and interpret publicly available financial documents and understand the nuances of stock market operations. This program serves as a gateway for individuals seeking to develop the data science skills increasingly demanded in the finance sector and is ideal for those considering a transition into this field.
NextGen Bootcamp offers a Python Data Science & Machine Learning Live Online Program tailored for high school students. The course delivers specialized knowledge in Python programming and its use in data science. Students can participate either at NextGen’s Manhattan location or in a live online class, receiving immediate, interactive instruction and personalized support from experienced teachers. The competencies gained are directly beneficial for those pursuing further education in computer science.
The course begins by immersing students in Python programming, a language renowned for its global prevalence. It equips students to code effectively, working with real databases and case studies to enhance their learning. As students gain confidence in handling Python for database management and query execution, the focus shifts to machine learning. Students delve into the structure and function of machine learning algorithms, gaining the ability to craft simple algorithms and use machine learning tools to carry out fundamental tasks. This program is an outstanding primer for anyone new to data science and computer science, offering a solid foundation for those interested in coding and current tech trends.
Practical Programming:Python for ||CPN415||
Practical Programming's Python for ||CPN415|| course is designed to provide students with the Python skills needed for data analysis and automation in various expanding sectors, preparing them for impactful work in their current positions or new opportunities in the data science field. Python’s popularity continues to grow, attributed to its clear syntax and versatile application, and this course addresses key programming principles such as object-oriented programming, managing different data types, and using conditionals to direct program flow. Participants will learn how to handle tabular data using NumPy and Pandas, create data visualizations using Matplotlib, and apply linear regression for predictive analysis with scikit-learn. These skills are increasingly vital in today's data-centric careers.
University of Chicago:Python for Data Science
The University of Chicago presents an eight-week Python for Data Science course crafted for professionals who already have a basic understanding of Python and machine learning and those beginning their journey in data science. This hands-on, project-oriented course uses Python for data analysis, manipulation, and building machine learning models. It is especially suitable for business intelligence analysts aiming to enhance their technical abilities and individuals with a quantitative background who wish to acquire technical data science skills. The curriculum is geared toward fostering a deep grasp of Python to tackle practical challenges.
Participants will be involved with weekly interactive modules, assignments, and synchronous sessions, including live Q&A, designed to support a self-directed learning style with mentorship to ensure progress. Completing this course will empower graduates to construct robust models, develop advanced Python code optimized for performance utilizing multiprocessing and multithreading, and ready machine learning models for deployment. They will master sophisticated data analysis, train machine learning models, and handle large datasets with Python, preparing them to apply data science effectively in their careers.
Practical Programming:||CPN509||
Practical Programming's ||CPN509|| is a focused 60-hour program that equips students with the necessary Python skills for financial analysis, machine learning, and algorithmic trading under the guidance of experts with backgrounds in finance and engineering. This bootcamp is designed to impart proficiency in Python for tasks such as extracting, cleaning, analyzing, and visualizing financial data. Students will also learn to make data-driven predictions, positioning them for roles in data science and financial technology or enhancing the skill set of existing financial analysts.
The course content covers advanced Python for financial data analysis, incorporating essential libraries such as NumPy, Pandas, and Matplotlib, and moves toward applying machine learning to build financial models and grasp important financial principles. Participants will create dynamic data visualizations and dashboards utilizing tools like Matplotlib, Seaborn, Plotly, and Dash Enterprise. Additionally, they will acquire the skills to publish their projects online using platforms like Heroku and GitHub. The inclusion of SQL training allows students to become adept at data querying, manipulation, and handling various data formats, providing a comprehensive set of FinTech tools.
General Assembly offers a comprehensive Data Science Bootcamp designed for students of various levels seeking to transition into the data science field. The bootcamp is led by industry professionals who provide tailored feedback and support, with the choice of online or on-site participation. The program is known for its focus on career development, integrating professional guidance into the curriculum and providing access to a large network of over 95,000 alumni, offering extensive networking and career opportunities across various sectors.
The curriculum is grounded in real-world applications, covering critical skills such as Python programming, Excel, Tableau, and machine learning. It starts with an on-demand session covering the basics of data modeling and then moves to live, interactive sessions that explore data science fundamentals, including data analysis and traditional statistical modeling. As participants progress, they delve deeper into Python and develop their capabilities in creating machine learning algorithms. The bootcamp structure is designed to provide students with up-to-date knowledge and skills, positioning them at the forefront of the rapidly evolving data science landscape, with particular emphasis on machine learning advancements.
The University of Chicago:Professional Certificate in Data Science for Business
The University of Chicago offers a ten-month Professional Certificate in Data Science for Business, tailored to prepare professionals for the modern, data-centric business landscape. The program aims to develop top-tier data scientists equipped to create, optimize, and scale innovative AI and machine learning models. Led by seasoned industry experts, the curriculum provides strong theoretical foundations, practical knowledge of essential tools, and insights into current industry trends, with particular emphasis on artificial intelligence and machine learning.
The certificate encompasses courses on Data Engineering, providing a technical understanding of how data is gathered, stored, managed, and utilized to enhance business intelligence. The Python for Data Science course is project-based, focusing on crafting efficient Python code. In Statistics for Data Science, participants learn to handle datasets, derive insights, and support decision-making. The Artificial Intelligence and Machine Learning course deepens mathematical and theoretical knowledge, enabling students to apply machine learning to extend Python’s capabilities. Finally, Strategic Data Storytelling hones the ability to present data insights through compelling narratives, facilitating data-driven decisions.