Revealing the future with data - our science, your advantage

  • Accredited by NASSCOM, Approved by Government of India
  • 184 Hours of Intensive Classroom & Online Sessions
  • Receive Certificate from Technology Leader – IBM
  • Job Placement Assistance
Enroll Now

Our Partners

Certification Courses

Data Engineering Certification Course

Data Science Certification Course

AI & Deep Learning

Data Analytics Certification Course

A data science course focuses on the tools and techniques for extracting insights from data. Topics include data collection, cleaning, statistical analysis, machine learning, and data visualization. This course is ideal for individuals seeking careers in data-driven fields like business analytics, artificial intelligence, and predictive modeling.

What will you learn ?

In a data science course, you’ll learn how to collect, clean, and analyze data effectively. You’ll gain expertise in statistical methods, machine learning, and data visualization to extract valuable insights from complex datasets. You’ll also develop problem-solving skills and learn to apply data-driven decision-making in various industries such as business, healthcare, finance, and more. This course equips you with the knowledge and tools to tackle real-world data challenges.

Data Science Course Objectives

  1. Data Proficiency: To develop proficiency in collecting, cleaning, and manipulating data from various sources.

  2. Statistical Analysis: To understand and apply statistical methods for data summarization and hypothesis testing.

  3. Machine Learning: To gain expertise in machine learning algorithms for predictive modeling and pattern recognition.

  4. Data Visualization: To learn how to effectively communicate data insights through visual representations.

  5. Programming Skills: To acquire coding skills in languages like Python and R for data analysis.

  6. Problem-Solving: To develop the ability to address real-world problems using data-driven approaches.

  7. Domain Expertise: To apply data science techniques to specific industries or domains.

  8. Practical Experience: To work on real-world projects and case studies to hone skills.

  9. Ethical Data Usage: To understand the ethical and legal considerations of data science.

These objectives aim to equip students with the knowledge and skills necessary to excel in data science and related fields.

Important Facts

Become A Data Scientist in the Next 6 Months

Read More

150+ hours

Assignments

184 hours

Classroom Sessions

120 hours

2 Live Projects

Success Stories Of Students

What Our Learners Have To Say About Us​

Nur Amirah Nur Amirah

Grateful to experience a great learning session regarding data science starting from zero which really helps me to understand how python and R programming language work. I would like to take this opportunity to thank 360DigiTMG for organizing this course!

Kevin Chuah Kevin Chuah

The trainers at 360DigiTMG are very knowledgeable and well experienced in the subjects they are teaching. They are also very patient with every question being asked by the students and provide a lot of great examples to ensure that the students understand the concept for the particular topic.

Alia Nursyifa

I've enrolled the Power BI course with 360 DigiTMG and I've enjoyed the learning process so much. The instructor is very knowledgeable and competent.

Awards & Accolades