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Data Science Course

Part Time | 7 Months

data science tools
In this course, you will learn to extract knowledge and insights from different data types, build complex quantitative algorithms, and synthesize large amounts of information. Are you ready for a six-figure salary? It’s your time to upskill and jump in with Clarusway!
Data Science
Data Science

Course Overview

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!

Why Data Science?

Freedom

Option to work remote or in office

Finances

Average salary $110,000+ in the US

Future

Data & AI is everywhere, are you in?

Upcoming Programs

Data Science w/ Prep

Schedule : Part-time
Duration : 9 Months
Curriculum : Module 0 (Prep to DS) + Module 1 (Data Analytics) + Module 2 (Machine Learning & Deep Learning & NLP)

Data Science

Schedule : Part-time
Duration : 7 Months
Curriculum : Module 1 (Data Analytics) + Module 2 (Machine Learning & Deep Learning & NLP)
Prerequisites

  • Python
  • Linux
  • GIT

21 November 2022

Premium Data Science with IT Fundamentals (15 seats only)

Schedule : Part-time/Full-time
Duration : 9 Months
Curriculum : IT Fundamentals + Module 1 (Data Analytics) + Module 2 (Machine Learning & Deep Learning & NLP)
Level : Beginner (No Prerequisites)

Premium Data Science (15 seats only)

Schedule : Part-time/Full-time
Duration : 6 Months
Curriculum : Module 1 (Data Analytics) + Module 2 (Machine Learning & Deep Learning & NLP)
Prerequisites

  • SDLC
  • Linux (Shell Scripting)
  • GIT
  • Python

What Will You Learn?

data analyst job description and duties

Prep to Data Science

  • Python
  • GIT/GitHub
ITF Graphicon

Information Technologies Fundamentals (ITF)

  • Computer Fundamentals
  • Computational Thinking
  • Software Development Life Cycle
  • Scratch (Google CS First)
  • Agile
  • Jira
  • Linux
  • HTML
  • CSS
  • GIT
  • Programming with Python
  • SQL
  • Network
  • DevOps
Module 1 Graphicon

Data Analytics

  • Statistics
  • Data Analysis with Python
  • Relational Database & SQL
  • Data Visualization with Python
  • Data Visualization with Tableau
  • Small and Medium Projects(for each section)
  • Capstone Project
Module 2 Graphicon

Machine Learning & Deep Learning & NLP

  • Machine Learning
  • Deep Learning
  • NLP
  • Model Deployment and Cloud for ML
  • Small and Medium Projects (for each section)
  • Capstone Projects

What Our Alumni Told ?

Leo
Leo
Switch Up
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“It has been more than four months since my first 'Hello World' code and when I look behind me the progress I see is such an unexpected one for me. This is mostly thanks to the help of instructors and mentors who are ready to help you whenever you need...”
Sam S.
Sam S.
Switch Up
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“It is an institution with experienced trainers, a well-designed educational environment, and an institution that aims not to leave anyone behind and has integrated this understanding with preclass, inclass and postclass education methodology. I can wholeheartedly recommend Clarusway to everyone...”
Ken
Ken
Course Report
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"Even though I started from scratch to this 9 month Data science journey, I am surprised to the level I've become. The curriculum is really comprehensive, including almost all of the skills you need. Especially the well-prepared Learning Management System(LMS) manages your training day by day with pre-classes, in-classes, post-classes, interactive quizzes, and projects..."
Semih
Semih
Course Report
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“It was an excellent learning experience for me to attend Clarusway's Data Science bootcamp. It was quite challenging for me because I had never programmed before taking the course. Yet, the courses are designed to make sure you have a solid background in technical skills..."
S. Miller
S. Miller
Career Karma
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“During the 9-month bootcamp program, I learned many programs on IT and Data Science. Thanks to the course, I have come to the level where I can get a good job from zero point and do what the job requires. Thank you for opening this course and giving you the opportunity to participate online...”
Mete
Mete
Career Karma
Read More
“I've attended Clarusway Data Science and Machine Learning Bootcamp. The whole course takes around 8 months. Starting with computer fundamentals, linux basics, SQL, and so on. Course cover all necessary skills like; Data Analysis, Data Visualization, Statistics, Machine Learning...”
E. Bigin
E. Bigin
Google
Read More
“The path of Data Science that I have attended the last 9 months was the most effective Bootcamp. During my training, I have learned many tools and agile methods. I have benefited from The Learning Management System( LMS) and Career Management System (CMS) very much. I recommend it to anyone who wants to start a new career in the field of Data Science..."

Course Prices & Payment Options

Upfront

Pay upfront and save $5,000 on tuition.

$15,000

$10,000

Total discounted fee is paid at the time of enrollment.
Meritize Credit (Student Loan)

as low as

$250 /mo

Meritize Bug

Apply for Student Loan via Meritize. Fund your education with low monthly payments customized to your needs. Learn More

Clarusway Installment Plan (CIP)
up to 36 months installment

as low as

$333 /mo

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Split payments into small and fixed installments. CIP carries 0% interest.

Contingent Payment Plan (CPP)
60 months installment

$330 /mo

Leif logo

Apply for CPP via LEIF. This plan carries 0% interest. Pay nothing while you’re enrolled. Start monthly payments when you get a job. Learn More

Income Share Agreement (ISA)

as low as

$250 /mo

Leif logo

Apply for ISA via LEIF. This plan carries 0% interest. Pay nothing while you’re enrolled. Start monthly payments when you get a job. Learn More

Frequently Asked Questions

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.

With this program, you will acquire skills in Data Science topics such as machine learning, statistical analysis, and data analysis. In addition, you will gain expertise in relevant industry tools and technologies such as SQL, Tableau, and Python.

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.

There are no prerequisites for Data Science with IT Fundamentals (IT Fundamentals + Module 1 (Data Analytics) + Module 2 (Machine Learning & Deep Learning & NLP)) program. Data Science (Module 1 (Data Analytics) + Module 2 (Machine Learning & Deep Learning & NLP)) program’s prerequisites are:
  • Software Development Life Cycle (SDLC)
  • Linux (Shell Scripting)
  • GIT
  • Phyton

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.

Data Science is the field for obtaining, processing, and making this massive amount of data useful. In other words, it is a discipline that uses computer science and statistical methodology to produce meaningful predictions and obtain insights into various industries.
In this Data Science Bootcamp, you’ll learn how to extract knowledge and insights from various types of data, create complicated quantitative algorithms, and synthesize massive volumes of information. You will also develop the leadership and communication skills required in this cross-disciplinary sector to build on the core competencies of a Data Scientist. At the end of the training, you will know how to:
  • Recognize critical questions in your field
  • Gather relevant data from various sources using the mastered tools
  • Store and manage data
  • Comprehend valuable data
  • Transform results into business solutions
  • Showcase the findings that will benefit the company

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.

You can self-learn data science by accessing educational websites or YouTube videos. However, without the assistance of a professional team, mentoring, planning lessons, it is difficult to maintain the discipline necessary to launch a career. Without hands-on projects and a highly-trained instructor’s guidance, most students will struggle on their own.
Data science can be a stressful job due to its inherent difficulties. Stress levels depend on the conditions, workplace culture, and nature of the project. Those who are passionate about their work love it, where others may find it to be stressful. We find that IT professionals who are thoroughly trained bring confidence with them to a new career. When an IT professional thrives, job satisfaction can be found through successful project completion, positive management feedback, and promotions in both pay and position. Stress levels are lower when subject mastery is achieved! A Data Scientist has the unique position to impact corporate decision making for company growth. Stress is a very subjective feeling – we guide individuals to be successful as they launch their new careers.
The average salary of a Data Analyst is $123,233 per year in the United States.
Data scientists are paid well because businesses have a great wealth of data to derive value. In addition, the digital world requires the ability to derive insight from increasingly enormous amounts of data for various applications. Hence, this makes the value of data scientists increase day by day. It’s predicted to be an growth field in the coming years.

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.

Although this varies based on the organization and the scale of the project, data scientists often earn more because they are more skilled and experienced.

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!). 

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Freedom

Option to work remote or in office

Finances

Average salary $110,000+ in the US

Future

Data & AI is everywhere, are you in?