Data Science Professional
Data Science Professional
Do you have a Bachelor's degree in Data Science? Are you missing out on your professional talent in a career in Data Science? Courses/certifications that can improve your skills and develop your intellectual abilities and potential in the field of Data Analytics Are you interested in record keeping? If the answer is yes, enroll in the Data Science Professional Certification today and take your knowledge and expertise to the next level.
The Data Science Professional Certification Course is designed to meet the evolving needs of data science professionals. If you're looking to become the best in data science with the skills that new global markets and industries are looking for, this certification is for you. With a practice-oriented training culture and professional guidance from experts, we are here for you.
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The Changing Landscape of Data Science
Why choose a Data Science Professional Program?
Birchwood University has introduced the exciting Data Science Professional Program for aspirants looking to jumpstart their careers or professionals seeking to transition into the data science and analytics landscape. This specially crafted course immerses you in applied learning of the latest techniques, powerful tools, and cutting-edge technologies that leading companies demand for their data teams. The course comprises experiential learning in SQL, Python, ML, and Tableau for data analysis and visualization. Propel yourself into prominent roles such as Data Scientist, Data Analyst, Data Engineer, and Business Analyst. This program is ideal for you as you will:
- Develop expertise for in-demand data science jobs.
- Gain hands-on experience through practical exercises.
- Learn tools like machine learning and statistical modeling.
- Receive guidance from industry experts.
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 Data Science Professional
- 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, and openness to applications. Our goal is to identify motivated individuals with strong leadership potential and a passion for advancing in Cyber Security.
Step 1
Online Application
Step 2
Online Assessment
Step 3
Personal Interview
Step 4
Documents Verification
Step 5
Final Committee Decision
Data Science Professional - Key Highlights
Program Objectives
Upon completion of the program, students will
- Learn industry-leading tools like Python, Tableau, and SQL to drive powerful data analysis.
- Apply machine learning techniques such as regression, classification, and forecasting to solve intricate problems.
- Transform raw data into valuable insights through data cleaning and transformation techniques.
- Harness the power of deep learning and NLP to work with advanced AI models.
- Become a sought-after data specialist for top companies.
Program Curriculum
A summary of the courses you will learn during the program.
Introduction to Programming in Python
Introduction to Database Management Systems
Exploratory Data Analysis (EDA)
Application of Statistical Techniques to Decision-Making
Machine Learning - Regression
Machine Learning - Classification
Unsupervised Learning - Clustering Techniques
Non-Supervised Learning - Principal Component Analysis (PCA)
Ensemble Techniques - Bagging and Boosting
Deploying Machine Learning Models Using Flask
Data Visualization Using Tableau
Data Visualization Using Google Data Studio
Additional Information for Data Science Professional Program
FrequentlyAsked Questions
For quick answers, browse our Frequently Asked Questions on the website
