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Part Time | 6-9 Months
Our Data Science Course is designed to teach you how to extract knowledge and insights from different data types, build complex quantitative algorithms, and synthesize large amounts of information. In addition to learning the essential skills expected from a data scientist, our students gain important IT leadership training and the specific communication skills necessary to be successful in this interdisciplinary field.
Data science is being used across numerous industries. This field critically important for all skilled professions. Organizations are focusing on collecting data and extracting meaningful insights out of it to aid in business growth. Job candidates who’ve mastered these specific skills are in high demand!
Our Data Science Course is delivered as a part-time/full-time program where you learn daily through pre-class, in-class, and post-class activities. You also receive lab assignments to master the skills and helpful mentoring sessions.
At the end of the data science training, you will be able to identify important questions in your field of study, collect relevant data from various sources with the help of the tools you have learned, store and organize data, decipher useful information and eventually turn them into business solutions, and present the findings that will positively affect the business.
In today’s world, data is the biggest asset for companies from every level. It is not possible for companies to be sustainable if they are not data-driven, regardless of the industry.
Data science has a wide range of application areas such as e-commerce, gaming, healthcare, manufacturing, transport, banking, finance, and much more. All around us, there are countless applications of data science and machine learning. From image recognition on Facebook to recommendations on Netflix – data drives our modern world! Companies across all industries and sectors are looking to hire personnel skilled in data science. Be a part of this high-demand career path with Clarusway!
Option to work remote or in office
Average salary $110,000+ in the US
Data & AI is everywhere, are you in?
Schedule : Part-time
Duration : 9 Months
Curriculum : IT Fundamentals + Module 1 (Data Analytics) + Module 2 (Machine Learning & Deep Learning & NLP)
Level : Beginner (No Prerequisites)
TBA
Schedule : Part-time
Duration : 6 Months
Curriculum : Module 1 (Data Analytics) + Module 2 (Machine Learning & Deep Learning & NLP)
Prerequisites
25 July 2022
Although a good academic background provides an advantage to those interested in a data science profession, it is not the only criteria needed to be successful. Anyone with a basic educational background and an intellectual curiosity about the subject matter can start a career on this path.
We have a specially designed IT fundamentals training program for beginners to take before the main program starts. In terms of IT training for newcomers, what makes us unique is that applicants are not required to pass any technical elimination process before starting our programs. We simply start with an assessment of communication skills to get to know our students better – ALL skill levels and backgrounds are welcome!
What we want from our participants is motivation, commitment, discipline, and hard work to enable them to stand out as professionals in the IT market.
This program prepares you for exciting IT roles such as Data Engineer, Business Analyst, Data Analyst, Data Scientist, and more…
We provide various payment options to make the program work for you:
The data science course prepares you to work as a Data Scientist, extracting knowledge and insights from various data formats, building complicated statistical algorithms, and synthesizing massive data.
These Data Science jobs allow you to work in various fields, including e-commerce, gaming, healthcare, manufacturing, transportation, banking, finance, etc.
Around 3 thousand billion bytes of data are created each day, and this rate is only increasing. However, much of those billion bytes of data lies dormant, waiting to be used. Therefore, data science jobs are among the fastest expanding and most in-demand segments of the technology industry.
In the United States, the average salary for a Data Analyst Intern is $73,675.
You can become a data scientist through various training methods and collegiate programs such as a traditional Bachelor’s/Master’s degrees, certificate programs (IT Bootcamps), and online education platforms.
Our Clarusway Data Science Course provides expert training with an instructor for a very specific curriculum over a short period of time. It’s a fast track to a successful IT career for those who need to economize their budget and time. This course is a part-time/full-time program that requires daily study through pre-class work, in-class instruction, and post-class activities. We also provide behind-the-scenes lab work and mentorship sessions. Our LMS (Learning Management System) paired with a CMS (Career Management System) provides the path for a successful launch into a new IT career – or an upskill opportunity for professionals with some IT experience.
Data analytics is primarily concerned with contextualizing historical data, whereas data science is more concerned with machine learning and predictive modeling. Data science is a cross-disciplinary field that entails the development of algorithms, data inference, and predictive modeling to address challenging business problems. On the other side, data analytics encompasses a number of distinct subfields within the broader field of statistics and analysis.
In other words, data analytics is a more focused and precise discipline than data science.
Data analysis entails addressing queries posed to aid in business decision-making. It takes advantage of existing data to unearth actionable facts. Data analytics is a discipline that focuses on specific regions with specific objectives.
On the other hand, data science is concerned with identifying new problems that you may not have known needed to be addressed to spur innovation. Unlike data analytics, which focuses on testing a hypothesis, data science aims to establish connections and mold questions to provide future answers.
To put it in an analogy, data science is a factory consisting of the methods and tools; data analytics is a specific production line. Concentrating on data science without learning data analytics will be like trying to produce by bypassing the production line in the factory.
It is up to your desires, goals, and skills. Know your differences. Data analytics focuses mostly on contextualizing historical data, whereas data science focuses on machine learning and predictive modeling. You can advance your career beyond data analysis by learning new data skills and becoming a data scientist.
Data Scientists are the people who carry out data science. In other words, Data Scientists examine data and either strive to innovate based on analyzing how things have historically happened (or find a fresh new concept to push innovation forward!).
