Advance Certification in Data Science
Advance 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. Under the guidance of instructors and assistants, hands-on labs and assignments bring these ideas to life. Build your career with this recommended data science PG program with Birchwood University and the team.
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The Changing Landscape of Data Science
Why pursue an Advance certification in Data Science Program?
Birchwood University'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 University 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
- Submit a copy of valid government-issued photo identification.
- Submit a copy of an updated resume.
- Any document not in English must be accompanied by a Certified translated copy.
Additional Admission Requirements For Advance Certification in Data Science
- Submit a minimum 500-word essay summarizing the applicant's interest in the program and their professional goals.
- Provide an official undergraduate degree transcript in business, marketing, management, operations management, statistics, or a related field with a GPA of 2.5 or higher.
- Provide two (2) Professional Recommendation Letters.
- If the GPA is below 2.5, a professional readiness interview will be conducted with the Director of Education
Your Path to Admission
We evaluate candidates based on their educational background, professional performance, consideration, and openness to applications. Our goal is to identify motivated individuals with strong leadership potential and a passion for advancing in the field of data science.
Step 1
Online Application
Step 2
Online Assessment
Step 3
Personal Interview
Step 4
Documents Verification
Step 5
Final Committee Decision
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 and SQL.
- Apply Machine Learning Techniques such as Regression, Predictive Modeling, 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
A summary of the courses you will learn during the program
