Data Science Professional Certification Course

Overview Why Birchwood Admission Requirements Objectives Curriculum Additional Information FAQs Apply Now

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.

The certification provides a space to engage in data-driven methods that contribute to the growth of organizations and their employees. Additionally, this course is designed to fill the shortage of trained professionals who are unable to properly operate systems in the industrial market. At Birchwood, we educate HR professionals who are ready to take the workforce by storm and create a better, more intelligent, and innovative world.

The Changing Landscape of Data Science

40%

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

61%

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.

33.5%

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

2025

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

94% Students who say they've achieved their goals post graduation.
66% of students got a bigger role and 80% say Birchwood helped them get it.
Median salary increases +23% within 6 months of graduation.

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 dynamic field of data science and analytics. 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 is packed with 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 including machine learning and statistical modeling.
Receive guidance from industry experts.
Benefit from career assistance; resume building, and interview preparation.

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.

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. .

Data Science Professional Course - Key Highlights

Online Program

6-months online program along.
Online Lab Sessions.

Collaborations

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:

Master 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

Module 1 : Introduction to programming in Python

Introduction to programming in Python

Module 2 : Introduction to DataBase Management System

Introduction to DataBase Management System

Module 3 :Exploratory Data Analysis

Exploratory Data Analysis

Module 4 : Statistical Methods Of Decision Making

Statistical Methods Of Decision Making

Module 5 :Machine Learning : Regression

Machine Learning : Regression

Module 6 :Machine Learning : Classification

Machine Learning : Classification

Module 7 : Unsupervised Learning : Clustering Techniques

Unsupervised Learning : Clustering Techniques

Module 8 : Unsupervised Learning : PCA

Unsupervised Learning : PCA

Module 9 : Ensemble Techniques : Bagging, Boosting

Ensemble Techniques : Bagging, Boosting

Module 10 : Machine Learning Model Deployment Using Flask

Machine Learning Model Deployment Using Flask

Module 11 :Data Visualization Using Tableau

Data Visualization Using Tableau

Module 12 : Data Visualization Using Google Data Studio

Data Visualization Using Google Data Studio

Additional
Information

Additional Information for Data Science Professional Program

FAQs

What is the closing date for issue of applications?

Can I visit the campus to know more about the program and University?

Can I pursue the Data Science master’s degree part time while I am working?

Is there financial aid available?

When and how can I apply? Does the program have rolling admissions?

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Data Science Professional

Data Science Professional