Advance Certification in Data Science

Advance Certification in Data Science

Accelerate your data science career with our unique data science analytics program. Experience world-class data science training from industry leaders on the most in-demand data science skills. Get hands-on experience with key technologies like Python and machine learning. Become a data science expert today.

The Data Science Advance Certification provides an in-depth study of key ideas and techniques from Python, and exploratory data analysis to machine learning, deep learning, and more. Hands-on labs and assignments bring these ideas to life under the guidance of instructors and assistants. Build your career with this recommended data science PG program with Birchwood and the team.

The Time is Now


Analytics professionals in World have a work experience of less than 3 years.


Jobs are open for candidates with 0-5 years of experience.

3 M

The 2021 global estimate calls for 3 million job postings for analytics and data science roles.


The Global data science industry is growing at a healthy rate of 33.5 per cent CAGR.


With innovations introduced on a constant basis, the AI market can be worth USD 7.8 billion.

Why choose an Advance certification in Data Science Program?

Birchwood’s advanced certification in data science is a program designed for fresh graduates and early career professionals looking to build their careers in data science & analytics. With a large number of job openings in the analytics and data science domain, advanced certification in data science Prepares you with the right skills and knowledge needed to break into these roles. Birchwood has collaborated with the industry to create a program that trains candidates specifically for roles such as Data Scientists, data analyst, data engineer, analytics engineer, and more by teaching relevant analytics techniques, tools, technologies, and hands-on applications through industry cases.
Build/grow your career in data science roles and companies.
Learn through live online sessions and hands-on learning.
Learn data science tools and technologies sought after by leading companies.

Admission Requirements

General Admission Requirements
Submission of a copy of valid government-issued picture identification.
Submission of a copy of an updated Resume.
Any document not in English must be accompanied by a certified translated copy.

Admission Decisions & Process

We evaluate candidates on their academic background, career accomplishments, and the thoughtfulness and candor within their application. Ultimately, we look for driven, early-career professionals with business leadership potential.
Online Application
Online Assessment
Personal Interview
Entry Documents Verification
Final Committee Decision

Admission Application and Graduation Requirements

Application For Admission
All persons interested in applying for admission to the university should complete an application which must be accompanied by a non-refundable required registration fee of $150.00 (check, money order, or credit card) to process the application. The check/money order should be made payable to Birchwood University. Applicants must submit all required application documents to be considered for admission. Once a decision is made, an email will be sent to the candidate with further instructions. Candidates will be contacted by their admissions agent regularly to ensure the completed documents are received by the office.
Graduation Requirements
To graduate from Birchwood University, and to receive a degree, the student must:

Complete all credits as stated in the catalog.
Earn a minimum 3.0 cumulative grade point average.
Meet satisfactory academic progress.
Fulfill all monetary obligations. .

Advanced Certification in Data Science - Key Highlights

Earn a globally recognized online master’s degree equally credible as offline.

Online Program

12-month online program along with Industry Internship.
Online Lab Sessions & Highly Experienced Faculties.


Industry collaboration is at the heart of Birchwood University. We aim to ensure our students are learning the skills needed within the industry so that they are ready and qualified for a professional role.

Become Job Ready

Real-world case studies to build practical skills.
Hands-on exposure to analytics tools & techniques.
Learn industry insights through multiple industry knowledge sessions.

Job Interview Preparation

Career guidance and mentorship by industry leaders.
Resume review and interview preparation sessions.
Access to opportunities with leading companies.

Program Objectives

Upon completion of the program, students will:

Be well-versed in Analytics Tools and Technologies such as Python, Tableau, the SQL.
Apply Machine Learning Techniques such as Regression, Predictive Modelling, Clustering, Time Series Forecasting, Classification, etc.
Perform Data Cleaning and Data Transformation Operations using Several Tools and Techniques.
Be well- versed in Deep Learning, Natural Language Processing (NLP).
Present yourself as an ideal candidate for Analyst, Data Engineer, and Data Scientist roles within Leading Analytics Companies.

Program Curriculum

Introduction to programming using Python
Introduction to programming using R
Database Management System using My SQL
Statistical Methods for Decision Making
Exploring Data Analysis
Supervised Learning – Regression
Ensemble Techniques
Unsupervised Learning
Machine Learning Model Deployment using Flask
Supervised Learning – Classification
Data Visualisation using Tableau
Data Visualization Using Google Data Studio
Data Visualization Using Power Bi
Time Series Forecasting
Text Mining And Sentimental Analysis
Introduction to Natural Language Processing
Reinforcement Learning
Introduction to Neural Networks and Deep Learning Computer vision


Additional Information for Advance Certification in Data Science Program

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