Online Course on Data Science

Data science is one of the best career path in 2021 with average package ranging in between 5 lakhs to 10 lakhs per annum. If you are looking for Online Course on Data Science and want to achieve that salary then we are here to help you with our Online Data Science Training.

The Data science and machine learning is getting integrated in the industry in each and every company and you should not miss the grand opportunity. Trisect provides the Best Online Data Science Course. Trisect will also help you to get job in the same field of your education in the companies like Mobiloitte Technologies, Nativebyte Software, Hardshell technologies etc.

Online Data Science Course Training


4 Months


07 Mar, 2022 (Mon-Wed-Fri)

14 Mar, 2022 (Mon-Wed-Fri)

05 Mar, 2022 (Sat-Sun)


Live Online Classes


Max 5 Candidates

Why We say 'We are the best'?

Why we say 'We are the best?'

A major problem in today’s scenario is theoretical nature of trainings happening in various known and unknown institutes. We try and break the status quo and hence keep practical first and maintain a ratio of 70 : 30 to balance between practical and theory to build skill along with knowledge.

If you are wondering what’s the difference between skill and knowledge, there’s a beautiful post written by our team differentiating between knowledge and skill. Do give this a read. [5 min read time].

Don’t take our word on this we strongly advise you speak with us, attend a demo class, look at others and take a informed decision on this. We assure you we won’t disappoint.

Who should go for Online Data Science Training?

This course can be done by both freshers and experienced. For freshers its a great way to get to your first job and for experienced its great to upgrade your career. Most Software Developers, Data/Business Analysts with 1-2 years or even more experience are also going for this course.

Data Science Training Advantages

Online Data Science Course Fee

At Trisect, we believe in charging economical fee and making education affordable for all. It’s one of our core ethics to provide affordable skill development courses and at same time maintain the highest possible quality while doing so.

Data Science Course Fee is fixed at Rs 16000 + GST. This fee is inclusive of all taxes and you can pay your Data Science Course fee via PayTM / UPI / Cash / Cheque. Online Payment supported via Debit Card / Credit Card / Net banking.


Rs 16000 + GST

Online Data Science Course Curriculum

What you will learn in this course

  • Environment setup and installation – GUI (Ananconda & Jupyter Notebook)
  • Virtual Environment
  • List Operations, List for different data types, Slicing, Tuples
  • Sets and Dictionaries
  • Working with Builtin python modules
  • Installing Numpy
  • Import Numpy
  • Creating Numpy arrays
  • Numpy Arrays: Indexing, Slicing and other operations
  • Installing and Importing Pandas
  • Dataframes
  • Handling Missing Data
  • Groupby, Merge, Append, Join, Concatenate and other operation on Dataframes
  • Working with Different data: CSV, Excel, HTML, SQL
  • Single Plot and Multi Plot
  • Matplotlib Object Oriented Method
  • Figure Sice, Figure Title, Aspect Ration and DPI
  • Legends
  • Setting Colors, linewidths, linetypes
  • Saving Plots
  • Installing and Importing Seaborn
  • Distribution Plots
  • Categorical Plots
  • Matrix Plots
  • Grids, Regression Plots
  • Style & Color
  • Intro to Different Types of Machine Learning
  • Using Scikit-Learn
  • Regression Algorithms – Linear, Logical
  • Predicting Values
  • Cross Validation and Bias Variance
  • KNN, Decision Tree and Random Forest
  • Support Vector Machine and K Means Clustering
  • Principal Component Analysis
  • Predict Model’s Performance
  • Where to go from Here? Birds’ Eye View of Advanced ML: Natural Language Processing, Nueral Nets and Deep Learning

Use the knowledge gained in this course to develop a project based on Data Science & Machine Learning

Online Data Science Course FAQs

What you will learn in this course

We have a stringent process of selection, testing, training and recruitment to pick the best person for the role of faculty at Trisect. Only experienced people with adequate domain knowledge in this case of Python, Data Science and Machine Learning and corresponding practical exposure are hired for this role. They are also tested on their desire to handle the training phase of each student individually. All faculties go through a rigorous training module under the experts to align them with the institute’s philosophy of providing individual attention to each candidate.

All Classes will be conducted in the live sessions. So, you are expected to attend the all live classes.

Trisect focuses on each and every student by following a unique way of training that includes personalized attention and growth tracking of each student.

Queries are very important in learning of any skill. At Trisect, we encourage queries and keep it one of our highest priority to clear every single doubt of all candidates.
We usually create a WhatsApp Group of a batch where you can directly interact with faculty and other students to collaborate and ask doubts.

Students get selected as Trainee / Intern / Data Scientist roles in the Data Science team of the company.

  • TCS
  • HCL
  • Mobiloitte Technologies
  • Infosys
  • Wipro
  • Mindtree etc.

You can see all companies current having job vacancy for Data science in Delhi NCR on Naukri and Hirist. We are working with majority of these companies.

Please call or WhatsApp 8802830160 incase of any doubts. We would be happy to help you.

About Online Training

Online Training is a form of classes which takes place on the internet. It involves a variety of multimedia elements, including graphics, audio, video and weblinks, which all can be accessed through internet. In Order to present the Online Course material and content, Online Training gives student the opportunity for live interactions without any disturbance. Online Training can be conducted at any time any place because of its time & place flexibility.