Data Science Training Classes

Certstaffix Training offers Data Science classes in several course formats. Our Data Science training is available for individuals or corporate teams. Browse our Data Science courses and training formats to enroll into one of our classes and start learning Data Science skills today.

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Data Science Classes offered by Certstaffix Training

Data Science Training Classes


 

Available Data Science Training Methods:



Individual Live Online

Instructor-led

Attend our live online public Data Science training for individuals. An instructor teaches you online from a location of your choice.

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Team Onsite & Online

Instructor-led

Have a team needing the same training on Data Science? We can send an instructor to your office or host a private online class.


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Self-Paced Online

eLearning

Purchase self-paced Data Science eLearning to attend training on a timeframe that works for you or your team's schedule.


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Jumping into the world of data science can seem intimidating, but it doesn't take a Ph.D. to get started. Building off of your existing skills in data analytics and basics of programming, you can start crunching through big data sets. These courses will hone your skills in Python and R, improve your ETL methods for obtaining and managing datasets, and help you develop mastery in the tools you'll use to create insightful visualizations that your colleagues and executives can use for better-informed decision making.

Certstaffix Training offers various ways to learn Data Science skills. Self-Paced eLearning modules area available that allow you to start and stop as needed. Pick up where you left off easily.






Data Science Training FAQs

How Much Do Data Science Training Courses Cost?

Public instructor-led Data Science course prices start at $275 per student. Group training discounts are available.

Self-Paced Data Science eLearning courses cost $250 at the starting point per student. Group purchase discounts are available.

Which courses are best for data science?

A: There is no simple answer to the question of which courses are best for data science. The field of data science is vast and complex, and there are many different specialties within it. That said, there are some general principles that can guide students in choosing the right courses for their needs.

First, students should make sure that they have a strong foundation in mathematics and statistics. These subjects are the backbone of data science, and without a strong understanding of them, it will be difficult to excel in the field.

Second, students should choose courses that cover a broad range of topics. Data science is a multidisciplinary field, so it is important to have knowledge in multiple areas. This will give students a well-rounded education and prepare them for the diverse challenges they may face in their career.

Third, students should consider taking courses that focus on specific domains or applications of data science. While a broad education is important, it is also helpful to have expertise in specific areas. This can be especially useful for students who want to pursue a specific career path or specialize in a certain type of data analysis.

Finally, students should make sure to choose courses that are taught by experienced and knowledgeable instructors. Data science is a rapidly changing field, and it is important to learn from those who are at the forefront of its development. By taking courses from leading experts, students can be sure that they are getting the most up-to-date and accurate information.

Choosing the right courses for data science can be a challenge, but by following these guidelines, students can ensure that they are getting the best possible education. With a strong foundation in mathematics and statistics, and a broad understanding of the field, students will be well-prepared to pursue a successful career in data science.

How do I train to be a data scientist?

A: There is no one-size-fits-all answer to this question, as the best way to train to be a data scientist will vary depending on your previous experience and skills. However, there are some general tips that can help you get started:

1. Firstly, it is important to have a strong foundation in mathematics and statistics. This will give you the ability to understand and work with complex data sets.

2. Secondly, it is also beneficial to have experience in programming languages such as R or Python. These languages are commonly used by data scientists and will be essential for working with data.

3. Finally, it is also helpful to have some experience in machine learning. This will allow you to build models that can automatically learn and improve from data.

These are just some general tips to get you started on the path to becoming a data scientist. For more specific advice, it is best to consult with someone who is already working in the field.

Does data science require coding?

A: No, data science does not require coding. However, coding can be a helpful tool for data scientists who want to manipulate and analyze data. There are many different ways to analyze data, and coding can give you more control over the process. It can also help you automate repetitive tasks. Ultimately, whether or not you code is up to you and what works best for you and your team.

Some data scientists do not code at all, while others are proficient in multiple programming languages, such as R and Python. There is no one right way to do data science, and the tools you use will depend on your individual skills and preferences. If you're new to data science, it may be helpful to learn some basic coding skills. This will give you a better understanding of how data science works and how to manipulate data. However, you don't need to be a coding expert to be a successful data scientist. Ultimately, the most important skill for data scientists is the ability to think critically and solve problems. If you're good at that, you can learn whatever coding skills you need along the way.

What are the top Data Science skills?

A: There is no doubt that data science is one of the hottest fields in the tech industry right now. And with good reason – businesses of all sizes are looking to harness the power of data to gain insights that can help them improve their operations and bottom line.

But what does it take to be a successful data scientist? In addition to strong technical skills, data scientists must also be able to effectively communicate their findings to non-technical stakeholders and have a keen business sense to know how their insights can be applied to real-world problems.

Top Data Science Skills

Technical Skills

First and foremost, data scientists need to have strong technical skills. This includes a deep understanding of statistics and machine learning algorithms, as well as experience working with large datasets. Additionally, data scientists should be proficient in at least one programming language, such as Python or R, and have experience using data visualization tools like Tableau or D3.js.

Communication Skills

Data scientists must be able to effectively communicate their findings to non-technical stakeholders. This includes being able to explain complex statistical concepts in layman’s terms and creating clear and concise data visualizations that tell a story. Additionally, data scientists should be able to make recommendations on how their insights can be applied to solve real-world business problems.

Business Skills

Finally, data scientists need to have a keen business sense to know how their insights can be applied to real-world problems. This includes understanding the business goals of their organization and being able to translate their findings into actionable steps that can help achieve those goals. Additionally, data scientists should be familiar with common business metrics and KPIs, as well as how to use data to measure and improve those metrics.

While there is no one-size-fits-all answer to the question of what skills data scientists need to succeed, the above three skills are a good foundation on which to build. As data science continues to evolve, data scientists will need to continuously adapt their skillset to keep up with the latest trends and technologies.

Where Can I Learn More About Data Science?

Data Science Blogs

Data Science User Groups

Data Science Online Forums

Explore Data Science Training Classes Near Me:

Certstaffix Training provides Data Science classes near me or online, depending on the number of students involved. We offer online courses for individual learners, as well as in person classes at your office for corporate groups. Our trainers are highly experienced professionals with the expertise necessary to help you gain a thorough understanding of Data Science concepts and tools. With our courses available online for individuals or in person for corporate groups, it's easy to develop your Data Science skills. Start learning today and see how Certstaffix Training can help you reach your goals.








Individuals: Online Data Science Courses Near Me

When individuals need to learn Data Science, Certstaffix Training provides Data Science classes online in the course formats listed above. Our Data Science courses online allow you to learn from the convenience of your home or office, eliminating the need to travel. View the available formats for Data Science online courses above.


Corporate Groups: Data Science Training Near Me

If you need a Data Science course near me, our onsite training for corporate groups provides Data Science training in person at your office. We can send an instructor to your office for Data Science in person training or hold a private Data Science training online just for your group. Onsite classes allow for Data Science classroom training by sending an instructor to your office. You can also schedule a private Data Science course online just for your team if you have a remote or hybrid work environment. Get a quote today online or give us a call at 888-330-6890.



Data Science Course Descriptions


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Advanced Python - eLearning Bundle

$750 (USD) •   7 Courses •   9h 57m Training • This eLearning bundle consists of these courses: Advanced Data Structures and Algorithms in Python & Data Wrangling with Python 3.x & Deep Learning for Python Developers

Advanced Python Programming

$2,025 (USD) • 3 Days • In this Python training course, students already familiar with Python programming will learn advanced Python techniques such as: the Collections module, mapping and filtering, lamba functions, advanced sorting, working with regular expressions, working with databases, CSV files, JSON, XML, and more...

Advanced Statistical Analysis using SPSS

$1,240 (USD) • 2 Days • In this two-day seminar you will consider in depth some of the more advanced SPSS statistical procedures that are available in SPSS. You'll take a look at several advanced SPSS statistical techniques and discuss situations when each may be used, the assumptions made by each method, how to set up the analysis using SPSS and how to interpret the results.

Data Collection, Processing, and Analysis - eLearning Bundle

$650 (USD) •   8 Courses •   This eLearning bundle consists of these courses: Learning Data Analysis with R, Learning Path: Statistics and Data Mining for Data Science, Data Science: Mathematical Methods & Quantitative Trading: Data and Machine Learning (ML)

Data Management & Manipulation with SPSS

$1,240 (USD) • 2 Days • The focus of this two-day course is on the use of a wide range of transformation techniques, ways to automate your work, manipulate your data files and results, and send your output to other Windows applications. You will gain an understanding of the various options for operating SPSS and how to use syntax to perform data transformations efficiently.

Data Science and Machine Learning with R eLearning Bundle

$700 (USD) •   6 Courses • In this practical, hands-on course, you’ll learn how to program in R and how to use R for effective data analysis, visualization and how to make use of that data in a practical manner.

Data Science Programming Essentials eLearning Bundle

$1,000 (USD) •   8 Courses • This eLearning bundle consists of these courses: Introduction to Python, Python for Everyday Life, Learning Python for Data Science and Learn R programming.

Excel - Combo (Levels 1-3)

$750 (USD)   •   3 Days   •   Enroll in all 3 Levels of our instructor-led Excel classes and save $75. This course package includes: Excel - Level 1, Excel - Level 2 and Excel - Level 3.

Excel - Level 1

$275 (USD)   •   1 Day   •   This course will introduce students to spreadsheets and the fundamentals concepts of Microsoft Excel.

Excel - Level 2

$275 (USD)   •   1 Day   •   This course will teach students how to perform more advanced calculations and work with larger worksheets in Microsoft Excel.

Excel - Level 3

$275 (USD)   •   1 Day   •   This course will teach students advanced tasks in Microsoft Excel.

Excel - Dashboards

$275 (USD)   •   1 Day   •   This course builds upon the foundation knowledge presented in the Excel - Level 1 course and will help start you down the road to creating advanced workbooks and worksheets that you can use to create a dashboard.

Excel - Data Analysis with PivotTables

$275 (USD)   •   1/2 Day   •   Upon successful completion of this course, you will be able to use Excel advanced PivotTable functionality to analyze your raw data.

Excel - VBA Programming

$995 (USD)   •   3 Days   •   This 3-day Excel VBA Programming course is designed to give experienced Microsoft Excel users proficiency in creating procedures that run in response to specific events, working with control structures, developing user forms to accept or display data, validating the data entry in user forms, debugging and handling errors in code, and much more!

Introduction to Python - eLearning Bundle

$900 (USD) •   7 Courses •   This eLearning bundle includes these courses: Learn Python in 3 Hours, Introduction to Python & Python for Everyday Life

Introduction to Python Programming

$2,700 (USD) • 4 Days • In this Python training course, students learn to program in Python. The course is aimed at students new to the language and who may, or may not, have experience with other programming languages. Students will learn: how Python ...

Introduction to SPSS

$1,240 (USD) • 2 Days • Get up to speed in SPSS quickly and easily in this two-day course. The course guides you through the fundamentals of using SPSS for typical data analysis process. Learn the basics of read data, data definition, data modification, and data analysis and presentation of your results. See how easy it is to get your data into SPSS so that you can focus on analyzing the information. In addition to the fundamentals, learn shortcuts that will help you save time.

Introduction to Statistical Analysis using SPSS

$1,240 (USD) • 2 Days • The focus of this two-day course is an introduction to the statistical component of SPSS. This is an application-oriented course and the approach is practical. You'll take a look at several statistical techniques and discuss situations in which you would use each technique, the assumptions made by each method, how to set up the analysis using SPSS as well as how to interpret the results.

Microsoft Excel 2016 eLearning Bundle

$250 (USD) • 9 Courses • This eLearning Bundle includes these Excel 2016 courses: Microsoft Office Excel 2016: Part 1 (Beginner), Microsoft Office Excel 2016: Part 2 (Intermediate), Microsoft Office Excel 2016: Part 3 (Advanced), Microsoft Office Excel 2016: Part 4 (Data Analysis with PivotTables) and Microsoft Office Excel 2016: Part 5 (Data Analysis with Power Pivot).

Microsoft Excel 2019 eLearning Bundle

$250 (USD) • 7 Courses • This eLearning bundle includes these Microsoft Excel 2019 courses: Excel 2019: Beginner, Excel 2019: Intermediate and Excel 2019: Advanced


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