Advance Certification in Data Science
September 30, 2022 2025-01-03 11:23Advance Certification in Data Science
Enhance your data science career with our comprehensive Data Science Advance Certification program. Learn from industry experts through world-class training and gain practical experience with essential tools and technologies such as Python and machine learning. Start your journey with Birchwood University to becoming 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 University and the team.
The Changing Landscape of Data Science
40%
61%
3 M
33.5%
2025
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.
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
Submit a copy of valid government-issued picture identification.
Submit a copy of an updated Resume.
Any document not in English must be accompanied by a certified translated copy.
Submit 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
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, and Natural Language Processing (NLP).
Present yourself as an ideal candidate for Analyst, Data Engineer, and
Data Scientist roles within Leading Analytics Companies.
Program Curriculum
Additional
Information
Additional Information for Advance Certification in Data Science Program
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