Data Science is a multidisciplinary topic that focuses on gaining insights from massive databases and processing them to extract value. It derives knowledge from organised and unstructured data using algorithms, techniques, and systems. Data Sciences uses data analytics and machine learning to do predictive analysis that may be utilised to assist make better decisions. The data science lifecycle starts with acquiring data from relevant sources, pre-processing (cleaning) the data to guarantee it can be used by machine learning, and lastly finding patterns and trends using statistical approaches and ML algorithms. These models are designed and built to anticipate outcomes that are then interpreted by the company.
Our goal is simple. Create the skilled Data Scientists that the industry demands. Whether you are looking to make a career change, upgrade your work, or up-skill, we help foster a unique and fulfilling journey to achieving your goals. We help you to build real-world skills; helping you grow towards your future and finally achieve your full potential. Join us and learn under the instruction of world-class industry experts.
This Data Science course introduces you to the main data science concepts, techniques and tools used most widely in the industry. Our accelerated programs are designed for students who want to enter the market fast. They are condensed and focus on the main skills and tools that employers demand.
A focus on real-world data projects
This course will take a deep dive into the field of data science and its various use cases. In this course, students learn how to work with and create datasets, learn about algorithms and leverage industry-wide techniques for effective Data Processing. This course has been created with the consultation of industry experts and various professionals working in the field of Data Science and AI. Through this course, students build the statistical & algorithmic foundations required in Data Science as well as learn about Data Visualization tools.
Learn to develop insightful, problem-fit solutions.
Our courses are designed for students with a variety of backgrounds - whether you are a beginner or someone who has experience working in IT. Our curriculum covers modern practices and incorporates industry popular methodologies such as Agile. Students learn to use modern tools and technologies like AWS ML Tools, Power BI and more! The projects are modelled after real-world problems, giving our students the right experience.
Support, at every step of the way.
We ensure that our students receive all of the support they need to succeed and this starts the moment you enroll. Students get access to preparatory material, interview resources, curated content brought together by our team of experts. Students are paired with mentors who are there to help you navigate the course and finally after the course, we guarantee our support till you get placed.Talk with our team
Once you successfully complete inTellee's Data Science Course, you'll receive an official Data Science certificate of completion to share with your network and showcase all your achievements. This certificate is formatted so you can share on your social networks like LinkedIn and more!
We are committed to helping you kick start a new career in IT. We offer full transparency in our fees and offer tons of flexibility in our payment terms. For our non-vocational courses, we currently have three payment options:
Save more if you pay Upfront.
Various Payment Options Available.
Designed to suit your needs as you take this new journey.
Divide your payments installments throughout the duration of the program.
Receive tuition reimbursement from your employer.
We can help provide appropriate receipts and invoice to help you reimburse the course fees.
Many of our non-vocational courses are offered part-time. This means that you can learn new skills and work towards a new career while also keeping your current schedules intact. Our Data Science course is offered online or in-person as follows:
Saturdays & Sundays 3-4 Hours
3-4 Hours, 2 days a week
We know you may have questions. Many of our past students did too, so we put together a list of questions that were most common.
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