
Data Science
Data Analytics & Machine Learning
Learn how to
- Extract knowledge and insights from different data types,
- Use scientific methods, processes, algorithms, and systems
in this interdisciplinary field and get the essential skills expected from a data scientist.
By this program, in addition to learn how to build complex quantitative algorithms and synthesize large amounts of information, gain the leadership and communication skills necessary to deliver measurable and tangible results to a variety of business stakeholders!

level
Beginner to Advanced

duration:
6-9 months
*depends on the levels

Location:
Online only
*during the COVID-19 pandemic

FREE TRIAL
7 Days FREE Trial
* As part of measures taken in COVID-19 mitigation efforts, we‘ve switched to the virtual platform temporarily. For all of our students affected by these efforts, we look forward to quickly returning to our regularly scheduled classes as well at our centers. In the meantime, all students will receive continued support and communication in all areas of learning from The Clarusway team as we navigate this challenging situation together.

Influential community
About The Data Science Course
Data science is being used across different industries. This field has paramount importance for skilled professions and organizations focused on collecting data and extracting meaningful insights out of it to aid business growth.
This program is delivered as a part-time/fulltime program where you learn every day through pre-class, in-class, and post-class activities behind the lab and mentoring sessions.
At the end of the course, 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.

Data Analyst

Machine Learning Engineer
Upcoming Programs
Data Analytics/Data Visualization
MARCH 2021
Level : Beginner/ Intermediate
Duration : 28 Weeks
IT Fundamentals
Module 1 : Data Analysis
Data Science/Machine Learning
MARCH 2021
Level : Beginner/Intermediate
Duration : 36 Weeks
IT Fundamentals
Module 1 : Data Analysis
Module 2 : Machine Learning & Deep Learning
Data Science/Machine Learning
MARCH 2021
Level : Intermediate/Professional
Duration : 24 Weeks
Module 1 : Data Analysis
Module 2 : Machine Learning & Deep Learning
Data Analytics/Data Visualization
MARCH 2021
Level : Intermediate/Professional
Duration : 16 Weeks
Module 1 : Data Analysis
What will you learn?
ITF
Information Technologies Framework (ITF)
- Computer Fundamentals
- Computational Thinking
- Software Development Life Cycle
- Scratch (Google CS First
- Agile
- Jira
- Linux
- HTML
- CSS
- GIT
- Programming with Python
- SQL
01
Module
Data Analysis
- Statistics
- Data Analysis with Python
- Database Design and Modelling
- Data Analysis with SQL
- 10 Small and Medium Projects
- Data Visualization with Python
- Data Visualization with Tableau
- Google SpreadSheets
- 15 Small and Medium Projects
02
Module
Machine Learning & Deep Learning
- Machine Learning
- Deep Learning
- Introduction to Machine Learning Engineering
- 14 Small and Medium Projects
- 1 Capstone Project
Although it was a busy schedule, it was very enjoyable. The efforts of our instructors to teach us, the educational technologies they use, the course contents, the assignments given, follow-ups, our mentors… I was more than satisfied with all of them.
Why should take Data Science course?
In today’s world, every company irrespective of sector or skill whether it be a fortune 100 company or start-up there is one thing that’s common that data is their biggest asset. 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 so many applications of data science and machine learning ranging from image recognition in Facebook to recommendations on Netflix.
As a result, companies across industries and sectors are looking to hire personnel skilled in data science. Data Science is one of the most promising career paths.
Frequently Asked Questions
Who can attend this program?
Although a good academic background provides an advantage to the interested person when it comes to the data science profession, it is certainly not an eligibility criterion. Anyone with a basic educational background and an intellectual curiosity towards the subject matter can start a career on this path. For beginners, we have a specially designed IT fundamentals training program before the main courses start. What makes us unique, in terms of IT training for newcomers, is that applicants are not required to pass any technical elimination process before starting our programs, except a simple assessment of their communication skills. What we want from participants is motivation, commitment, discipline and hard work to enable them to stand out as professionals in the IT market.
What I will learn?
Why data science?
What are the payment options you offer?
We provide various payment options like:
- Full/Up-front discount
- Installment payment option (different maturity options)
When does the next cohort start?
Classes begin on May 1st, 2021 for the next cohort. The orientation sessions are scheduled for the last weekend before the classes begin.
Can An Average Student Become A Data Scientist?
How to become a data scientist? Can an average student become data scientist? Data science is the most popular job of IT sector with very high salaries. Many students at all levels want to take part in data science. Thanks to communication tools, there are lots of...
How To Start A Career Path In Data Science Without Experience In 2020?
How to start a career path in Data Science as a beginner? How do I start a good career path in data science with no experience? Which tool to learn – R or Python? What techniques to focus on? Is it easy to learn Data Science? There is no doubt that data science is...