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.
Data science is a field of study that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. It is an interdisciplinary field that combines computer science, mathematics, statistics, and machine learning to solve real-world problems. Data Scientists use a variety of techniques such as predictive analytics, natural language processing (NLP), neural networks, and deep learning to uncover patterns in data and generate actionable insights.
By leveraging the power of technology, Data Scientists can help businesses make better decisions, improve efficiency, optimize operations, and drive overall success. With the rise of Big Data and advances in AI technology, data science is becoming increasingly crucial for companies looking to gain a competitive edge. Data science offers a wealth of potential for businesses, from developing predictive models and uncovering customer insights to optimizing product offerings and automating decision-making processes.
Data Scientists are in high demand, with the the BLS anticipating a 36% growth in job demand over the next decade. This makes data science an attractive and rewarding career choice for those with the requisite knowledge and skills. If you're interested in pursuing a career in data science, taking in-person or virtual classes can help you get started.
Starting a data science career in Austin can be an exciting and rewarding endeavor. Austin is home to many innovative tech companies, making it a great place to hone your data science skills and develop your career. Data Scientists in Austin are often involved in analyzing consumer behavior, developing machine learning models, and improving customer experience. Additionally, many businesses in the city rely on Data Scientists for market research and forecasting, which helps them stay ahead of their competition.
A Data Engineer is one role that those with a data science background may take on. Data Engineers are responsible for designing and building systems that collect, store, and process massive amounts of data. By leveraging their knowledge of databases, algorithms, distributed computing platforms, cloud services, and more, Data Engineers can help businesses optimize their data infrastructure to maximize efficiency and accuracy. These professionals make an average salary of $120,000 in Austin.
Machine Learning Engineers are another position those with a data science background can consider. These professionals are responsible for developing and deploying machine learning models to solve complex problems. They use their knowledge of coding languages, statistical techniques, predictive analytics, and other technologies to create algorithms that enable machines to learn from datasets. Machine Learning Engineers in Austin earn an average of $115,000 annually.
No matter your background, data science offers plenty of opportunities for those interested in pursuing a career in the field. With more businesses leveraging data to gain competitive insights, now is a great time to start a career in data science in Austin.
If you enjoy learning in a traditional classroom setting, several in-person data science classes are available in Austin. This is an effective way to master the skills you'll need to excel in the field—even if you're a beginner.
Galvanize offers a ||CPN415|| Bootcamp that provides students with the fundamentals of data science and big data analytics, including an understanding of Python programming language and machine learning algorithms. Students learn hands-on how to create predictive models and develop machine learning systems for real-world situations.
General Assembly has several relevant courses, including the ||CPN415|| and ||CPN412||. This program covers fundamentals of data science, including Python programming, predictive modeling, machine learning algorithms, and SQL databases. You'll also learn how to apply machine learning algorithms to solve complex problems.
If attending in-person classes isn't an option, there are also many virtual data science classes available. This is a great way to learn the basics of data science from the comfort of your own home or office without having to commute to a physical classroom. The curriculum and training are the same in virtual classes as with in-person courses, so you won't miss out by opting for a virtual setting.
Noble Desktop's ||CPN395|| provides a comprehensive, hands-on introduction to data science with courses in Python, SQL, and statistical analysis. You'll learn all the data analysis and visualization fundamentals and gain the skills needed to understand and process datasets. It's an excellent training option for those looking to become Data Analysts or Business Analysts.
The Python Data Science & ||CPN633|| is another great option. This course covers the fundamentals of Python programming and machine learning algorithms, including supervised and unsupervised learning, decision trees, clustering, and natural language processing (NLP). By the end of this program, you'll have the skills to create predictive models and develop automated solutions for various data science problems.
There is a ||CPN411|| available as well, covering the fundamentals of data science, including machine learning, statistical analysis, and data visualization. Pandas, NumPy, and Matplotlib are key topics in this course, and students will learn how to use them to analyze datasets and create predictive models.
No matter your background or experience level, there's a data science class available in Austin to suit your needs. With the proper training and skill set acquired from these courses, you can pursue various positions such as Data Scientists, Machine Learning Engineers, Business Analysts, or Data Analysts.
Is your team at different levels when it comes to data science skills? It can be challenging for companies to get everyone up to speed on the same subject. That's why Noble Desktop offers corporate and onsite data science classes that can be tailored to meet the unique needs of your team. It's an effective and cost-efficient way to get your employees up to speed and ensure everyone is knowledgeable in the same area.
Classes are customizable, allowing you to determine the focus, duration, and content of your data science training. You can choose from a selection of topics or develop customized material for your team. Contact us at hello@nobledesktop.com today to get started.