Nyc Data Science Academy
The NYC Data Science Academy is aimed at more experienced data scientists who have earned a masters or PhD degree. Courses include training in data visualization, Tableau, Spark, R, Python, Hadoop, GitHub, and SQL with a focus on real-world application. Participants will walk away with a portfolio of five projects to show to potential employers as well as a capstone project that spans the last two weeks of the course. The NYC Data Science Academy also helps students garner interest from recruiters and hiring managers through partnerships with businesses. According to Switchup, 93% of students are hired within six months of graduation. In the last week of the course, students will participate in mock interviews and job search prep many will also have the opportunity to interview with hiring tech companies in the New York and Tri-State area.
Switchup rating: 4.82
Cost: $17,600
Locations: New York City and online
Are There Any Prerequisites For This Data Science Course
BrainStations Data Science course is an intermediate-level course. Experience programming with Python is needed and some prior knowledge of statistics is recommended. If you are new to Python, BrainStations Python course is at a beginner-level, and can help you prepare for data science and machine learning training.
Rise Of The Data Science Bootcamps
Coding bootcamps first appeared in the depths of the Great Recession, as laid-off workers looked to quickly revamp their skillsets for one of the few industries that was still hiring. But they really took off in 2014, when Kaplan, an established test-prep service and education provider, acquired Dev Bootcamp, a two-year old programming bootcamp startup. Kaplans confidence in the product ignited the industry. By December that year, there were more than 50 coding bootcamps in the United States.
At the same time bootcamps were proliferating, technology jobs were becoming more specialized. Inevitably, bootcamps started to open up to cater to the demands in these specialty fields. Fast forward to 2020, and there is at least 113 dedicated data science bootcamps worldwide up from only 14 just five years earlier.
As their numbers expanded, so did the format. Bootcamps were originally short-term, all-day, and on-site. Now, you have all kinds of options, from all-online, to evenings and weekends, with terms as short as two days and as long as five months. There are data science bootcamps aimed at almost every skill level and focused on almost every tool and technique of the trade.
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Guide To Data Science Bootcamps Comprehensive Listing Of Bootcamps In The Us
with Kat Campise, Data Scientist, Ph.D.
First, a word of caution regarding data science boot camps: while they can be a great way to dive into the data science world, they are not a replacement for the unique combination of academic training and practical application in advanced math, statistics, research, and experimental design, essential programming skills, and relevant knowledge in the target industry. Its definitely true that most employers require at least a Masters degree in a STEM field as a minimum qualification to be considered for their data science positions. Yes, there are exceptions where employers will review candidates who have a Bachelors degree. However, the applicant pool is still expected to have a STEM degree at the very least to get past any automated algorithm or human resource personnel that pulls out keywords from your resume/CV.
Can I Take This Course Online
Yes, you can take BrainStation Data Science courses online.
BrainStation’s online Data Science certificate course is taught by leading industry experts in a live, interactive classroom environment. Our project-based online course encourages collaboration and communication between classmates, who work together on cross-disciplinary teams to create real-life projects that eventually become the basis of their professional portfolios.
Students in our online Data Science courses stay in touch with each other and instructors alike through BrainStation’s industry-leading student learning platform, as well as a lively Slack community, which provides support and updates even beyond graduation.
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What Is Data Science
Data science incorporates advanced analytics, artificial intelligence, and machine learning to access and process data. It can be challenging to learn, especially for people who have no programming language experience or struggle with math. Data science requires skills and knowledge in computer science, advanced math, programming languages, and statistics.
Data scientists discover actionable insights that companies can use to drive decision-making and strategic planning. They begin with data collection from relevant sources, such as customer and social media data, log files, photos, and videos. These professionals use manual entry, real-time streaming, and web scraping methods to gather structured and unstructured data.
Since the information comes in many formats, the next stage includes cleaning and processing it. After that, data scientists store the information in a data repository where they can analyze it and create data visualizations. They use various programming languages, such as R and Python.
The Curriculum Youll Find In A Data Science Bootcamp
Your curriculum will vary based on the length and focus of the program. As the field of data science has grown, so has specialization in bootcamp programs. The most broad-based will cover each of these subjects. More narrowly focused camps may examine only a few, in greater depth. In other cases, youll find specific elements from different subjects combined to explore a particular application of the latest techniques, such as exploring statistical prediction through the lens of natural language processing.
Subjects can change quickly due to real-world advances and demands, but you can expect the curriculum to cover a mix of these topics:
Coding
Most bootcamps have some programming instruction to prime you for all the programming work involved in the projects and practice exercises youll be working on. Generally, however, you will be learning statistics-specific libraries and how to implement particular data functions in languages you are already expected to be familiar with.
Machine Learning and Artificial Intelligence
ML is a technique that has become synonymous with processing large data sets, so almost every bootcamp will cover the subject to some degree. Its one aspect of artificial intelligence that is used heavily in data processing and analysis, but some programs go into broader AI concepts and techniques as well.
Statistics and Prediction
Data Visualization
Data Engineering
Databases and Data Languages
Tools
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What Data Science Tools And Programming Languages Will We Learn In Brainstations Data Science Course
You will use data science and Python to import, clean, manipulate, and analyze various types of data. You will then learn to build linear models for numerical data and categorical models for non-numerical types of data. Finally, using Python packages, you will construct data visualizations that can help tell a story with the analyses and predictions of a professional, polished Data Scientist.
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Are You Ready To Discover Your College Program
A major hub for tech companies, Los Angeles offers many career opportunities for tech professionals. Approximately 161,410 computer and mathematics professionals work in Los Angeles, according to a 2019 RTI Press report.
The city also provides extensive training for the computer coders needed to help fill those positions. Los Angeles has 36 coding bootcamps, about 4.5% of the number of bootcamps in the U.S. These short-term, intensive programs can help prepare students for fast-growing careers as data scientists, computer programmers, or security engineers.
Los Angeles’ bootcamps provide training in computer languages, mobile development, and full-stack development. While they all offer hands-on training, bootcamps vary widely in price and career outcomes.
This roundup of bootcamp programs can be a great place to start your bootcamp search in Los Angeles.
What Can I Learn In A Data Science Course
In a data science course, you can learn the fundamentals of working with and analyzing data, how to leverage data and statistical analysis skills to make actionable data-driven predictions, and how to present your findings in compelling data visualizations.
The best data science certifications will begin by imparting the most crucial and foundational aspects of data analysis and data management, including data wrangling, data cleaning, data processing, and data manipulation techniques, while also developing your programming skills with Python and R, two essential programming languages for data science. From there, students should master the art of storytelling with data visualizations, as they learn how to decide which data visualization approach to most effectively represent their data, and how to use Python packages to facilitate further statistical analysis.
Top data science certifications will also delve into more complex data science concepts relating to machine learning workloads, algorithms and techniques, data classification models, predictive modeling, decision trees, data processing systems, and more.
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Are Data Science Bootcamps Worth It
Yes. Bootcamps offer real-world projects and an opportunity to hone your skills and build your portfolio. The best data science bootcamps are worth it because their providers typically develop them with job placement in mind. However, data science bootcamps are intensive courses that are often challenging for beginners.
Many bootcamps require prep work before students dive into the main coursework. One of the greatest benefits for graduates is the career services bootcamps offer. For example, the bootcamps included in our guide provide career services varying from resume and interview prep to meetings with hiring managers.
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Best Data Science Certifications To Do In 2022
Data scientists are among the most sought-after IT professionals. Data specialists that are able to keep track of the huge volume of data collected by an organization are becoming an increasingly desirable asset for businesses. Certification is something to consider if you are interested in entering this affluent sector or if you want to differentiate yourself from the other candidates in the area.
If you’re looking to get into the data science field, obtaining a Data Science Certification will help you gain in-demand skills as well as establish your expertise to potential employers. Have a look at our rundown of the top Data Science Certifications you can get in 2022.
List Of Best Data Science Certifications
Data Scientist Course
Taking this IBM-sponsored Data Science course is a great way to jump-start your Data Science career while also receiving the top-notch support and learning you need. This course provides in-depth instruction on some of the most in-demand Data Analytics and Machine Learning abilities, as well as hands-on experience with some of the most important tools and techniques, such as Python, Tableau, R, and the fundamental ideas behind machine learning.
Master the intricacies of data analysis and interpretation, Machine Learning, and robust programming abilities to further your Data Science career with this Data Scientist course from Simplilearn.
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Data Science with Python Certification
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Certification Course in Data Science with R
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Data Science Certification
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Reasons To Pursue A Data Science Career
Before enrolling yourself in a Data Science Bootcamp in Los Angeles, check out some significant benefits of learning Data Science:
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There is a global demand for Data Science professionals. The U.S. Bureau of Labour Statistics has projected a 28% increase in the number of Data Science jobs by 2026. It means that there will be around 11.8 million Data Science jobs in the U.S. alone. So, if you get competent in Data Science, you will have adequate employment opportunities.
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Data Science is a lucrative career path that offers big paychecks. The average salary of Data Scientists ranges from $104,000 to $155,000, which makes them the highest-paid tech professionals.
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Once you master the key aspects of Data Science, you can explore many career options such as Data Scientist, Data Analyst, Big Data Engineer, Statistician, Data Visualization Developer, BI Engineer, Analytics Manager, Database Administrator, etc.
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A recent survey on Data Science has revealed a shortage of skilled resources in the job market. Reportedly, talent supply is scarce for Data Scientists as compared to its huge demand. One can leverage the opportunity to get upskilled through Data Science training in Los Angeles.
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Data Science is omnipresent as every other industry is using it in some capacity. It widens the career prospects of skilled Data Scientists and gives them access to work in any sector from Healthcare, Manufacturing to Banking, IT, and Education.
When Are Data Science Classes Available
Itâs crucial to find a course that fits your schedule. For training in Los Angeles or live online, weâve found flexible scheduling options, including weekday and evening courses.
Courses with multiple scheduling options include:
- Data Science Course @ General Assembly is available weekdays or evenings
- Data Analytics Course @ General Assembly is available weekdays or evenings
Courses available weekdays only include:
- Data Science Immersive @ General Assembly
- Data Science Immersive Bootcamp @ Galvanize
- 5-Day Data Science For Professionals @ theDevMasters
Full-time Courses
Also note, 2 courses weâve found require a full-time commitment. These courses are âcareer-changerâ courses that typically span over several months and require 40 or more hours of work per week, whether in the classroom or out-of-class assignments and projects. They also typically require a large financial commitment, although many provide payment plans and financing options. Full-time courses include:
- Data Science Immersive @ General Assembly, spanning over 12 Weeks for $15,950
- Data Science Immersive @ Coding Dojo, spanning over 14 Weeks for $14,995
Due to changing schedules and uncertainty during COVID-19, we recommend that prospective students confirm course availability directly with the school.
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What You Can Learn
- Explore data sets with Python and learn the foundational tools and techniques to analyze data, deliver insights and build forecasting models
- Gain expertise in Exploratory Data Analysis and advanced data visualization, using R and Tableau
- Understand the management of big data, types of NoSQL data stores, and the framework of Hadoop and its ecosystem
- Apply machine learning techniques using R to train, evaluate, improve performance and present analyses of statistical models
Support Vector Machine Algorithm
- What is Support Vector Machine ?
- How Does SVM Work?
- Type 1 & Type 2 error
- Confidence Interval
- The concept of model in analytics and how to use it?
- Different Phases of Predictive Modelling
- Popular Modelling algorithms
- Different kinds of Business problems – Mapping of Techniques
- Common terminology used in Modelling & Analytics process
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When Are Data Analytics Classes Available
Itâs crucial to find a course that fits your schedule. For training in Los Angeles or live online, weâve found flexible scheduling options, including weekday and evening courses.
Courses with multiple scheduling options include:
- Data Science Course @ General Assembly is available weekdays or evenings
- Data Analytics Course @ General Assembly is available weekdays or evenings
Courses available weekdays only include:
- Microsoft Excel 501 – Microsoft Excel Bootcamp Training Course @ Ledet Training
- Data Science Immersive @ General Assembly
- Data Science Immersive Bootcamp @ Galvanize
- 5-Day Data Science For Professionals @ theDevMasters
Full-time Courses
Also note, 2 courses weâve found require a full-time commitment. These courses are âcareer-changerâ courses that typically span over several months and require 40 or more hours of work per week, whether in the classroom or out-of-class assignments and projects. They also typically require a large financial commitment, although many provide payment plans and financing options. Full-time courses include:
- Data Science Immersive @ General Assembly, spanning over 12 Weeks for $15,950
- Data Science Immersive @ Coding Dojo, spanning over 14 Weeks for $14,995
Due to changing schedules and uncertainty during COVID-19, we recommend that prospective students confirm course availability directly with the school.
Introduction To Data Science With Python
- What is Data Science & Analytics?
- Common Terms in Analytics
- What is Data & its Classification?
- Relevance in industry and need of the hour
- Types of problems and business objectives in various industries
- Critical success drivers
- Overview of analytics tools & their popularity
- Analytics Methodology & problem-solving framework
- List of steps in Analytics projects
- Build Resource plan for analytics project
- Finding the most appropriate solution design for the given problem statement
- Project plan for Analytics project & key milestones based on effort estimates
- How leading companies are harnessing the power of analytics?
- Why Python for data science?
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Employment Prospects After Completing A Data Science Bootcamp
Even now as the economy wakes back up after the long COVID-19 nap, the job market for data scientists is super strong. Data science today is at the same point of the arc that web design was in the late nineties everyone needs what it can deliver, and there are very few people who can do it.
BLS data forecasts a 16% jump in employment by 2028, but that includes other research areas that probably depress the estimate. In fact, you almost need to be a data scientist to predict how big the demand is, and how much bigger its likely to get.
IBM, which counts some pretty big brains in the field among their employees, took a stab at the topic back in 2017 and estimated a 28% increase by 2020. Analysis of actual job listings by investment analysis firm Thinknum shows that they may have been a little short of the mark, but close enough for a projected estimate.
Moreover, Thinknum found that demand is tremendously diversified. Almost every sector has seen the number of openings rise, and almost every business is finding ways that big data can dramatically increase efficiency or profitability. Butchworks reported that the technology, telecom, and gaming sectors were the largest employers of data scientists, with financial services right behind.
The lag in supply far outweighs the pipeline, so graduates from data science bootcamps today at every level can expect a solid employment environment for the remainder of their careers.