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4.88(8 Ratings)

Professional Certificate in Applied Machine Learning and Data Science

Demand for data scientists crosses all industries as employers demand to connect the power of data analytics to personalize their products, minimize risk, and expand into new markets. The Professional Certificate in Applied Machine Learning and Data Science from the Handson School of Data Science Management and Technology to take full advantage of this trend. Upon completing this course, you will be ready to take benefit of new opportunities and face new challenges in the field of Data Science.

“Data scientists are able to think of ways to use data to solve problems that otherwise would have been unsolved, or solved using only intuition.”

–Peter Skomoroch, former principal data scientist at LinkedIn

Develop skills in high-demand in today’s job market, including: Data Visualization, Machine Learning, Risk Management, and Predictive Modeling. You will understand the basics and potential of Applied Machine Learning using Python ,R Programming with predictive modeling ,Base SAS, Advanced SAS, SAS Predictive modeling, SQL coding through live online instructor-led sessions and hands on assignments. Data visualizations using tableau, build linear and logistic regression models, and applied Machine Learning algorithms such as K-means clustering and random forest. Deep Learning and Neural network with different case studies and projects. Access the personalized career guidance you need — beyond CV preparation guidance and LinkedIn profiles — to prepare for a industry ready data scientist. Finally develop an excellent data science portfolio to share with prospective employers.

 
Who this course is for:

Fresher, wanting to come in an exciting, growing field with a basis that ensures elasticity as new platforms and technologies emerge. Titles may include software engineer, financial and business analyst, data analyst and associates.

Aspiring Data Scientist, aiming to work on their present skills, whether in a technical or non-technical manner across fields and industries.

Working professionals, looking for new ways to increase opportunities, involve in continuous learning, and increase their earning potential in a demanding field. Titles may include non-technical professionals such as general management, sales, marketing, administration, etc.

 
Benefits of the course:
  • One-to-one career mentoring
  • Live instructor-led hands on skill development training with subject matter experts
  • Regular live webinars*
  • Learn all leading data science and analytics training
  • Rigorous, graded assignments (Professional-level certificate)
  • Assistance with career planning
  • 25+ Case studies and Hands on Capstone projects
  • Small group mentoring sessions
  • Learn from scratch. No prior knowledge required for statistics or programming
  • Industry Internship opportunity for fresher/Capstone project on business domain specialization. (eg. Marketing/ HR/Healthcare/Pharmaceutical/ BFSI/Supply Chain Management/ Operation Research/Travel and Tourism/E-commerce etc.)  
  • Reasonable course fees with easy installment facilities
  • Dump solution and guidance for SAS Global Certification exam
Requirements:
  • Basic knowledge of computing
  • Final year under graduate student
  • Any Gradate from any stream
  • Working professional in any functional area.
  • Any post graduate/MPhil/PHD/Researcher
Where our students are working ?

Our students are working in TCS, HSBC, EI, deutsche bank, ICICI, American Express, Accenture, Bridge tree,  Fractal Analytics, Mu Sigma,  CESD (Myanmar), OYO, UBER  and many more. 

 
Faculty

Handson Faculty members are are professional academics and Industry experience who have extensive teaching and project handling experience in the field of Data Science, Management and Technology. The Prescribed qualifications to provide educational support. Handson faculty members are handpicked based on rigorous selection process designed to test their experience and empathy. 

Prof. Shantanu Chakraborty

 

With more than 15 Years + of rich experience as an academician and Industry professional. Prof. Chakraboty is the assistant professor at Techno India university, Senior Lecturer with demonstrated history of working in Wipro technology, Skilled in Lecturing, Market Research, Java, Management, and Leadership. Strong education professional with a M.Phil in Management focused in Business Analytics and Data Science from Indian Institute of Social Welfare and Business Management.  

Ms. Konika Ghosh
 

Ms Konika Ghosh, a post-graduate in Economics from the University of Pune, has wide experience in statistical modeling for industrial applications on Python, R & SAS platforms. She is an avid researcher and trail blazrt having conducted numerous training programs, workshops and FDP for various industry houses including HSBC, Genpact, EXL, Ernst & Young, British Telecom, Deutsche Bank, Tata Cnsultancy Services, IBM, Cognizant Technology Solutions, Indian Statistical Institute, to name a few. 


Still Have Questions?

How do I know if this program is right for me?

Demand for industry ready workforce with skills in data science has grown faster than supply, creating opportunities for those with quantitative abilities to enter into this career field. This online Professional Certificate in Applied Machine Learning and Data Science is based on many real time case studies and project work. It is planned around the skills that top technology giants such as Amazon, Google, Facebook, Apple, and McKinsey value in data science professionals. Numerous participants in the on-campus version of the program have leveraged the skills acquired at Handson School of Data Science to obtain positions in data analytics-oriented roles across a variety of industries.

Are there any prerequisites for this program?

You must have knowledge of basic computing to enroll in this program.


    •  Mathematics requirement: You will learn from scratch in this course which would be mandatory requirement that is moderate knowledge of Calculus, Linear Algebra, Statistics, and Probabilities.

 

What is the typical class profile?

A experienced peer group is one of the key elements of the program. The typical class will have early stage, mid-level, as well as senior professionals looking to create a new career pathway in data science. A large majority of participants come from the India but we attract many participants from the wider English-speaking markets like Australia, US, UK etc. Finally, your class will have professionals from various sectors of the economy, with high representation from Banking and Financial Services, Healthcare, E-commerce, Energy and IT Services.

Why is there such a strong emphasis on math?

In order to fully understand the real business problems that data science can help solve, you need to understand how the algorithms work. Take for example machine learning, an approach that is being applied across every industry. Math is a fundamental aspect of understanding what machine learning is about. As you proceed through your career and develop new skills, you will need to leverage this mathematical understanding to engage with and comprehend new literature and peer-reviewed journals on Machine Learning approaches.

What are the requirements to earn the certificate?

This is a graded program. You will be required to complete a combination of individual assignments, quizzes, and a final project. Each component carries a certain number of points and a cumulative score of 75% is required to pass and obtain your Professional certificate.

Will I be guaranteed a job in data science?

The program will give you the skills you need to be prepared for a job in this field; however a job placement is not guaranteed. Our program team includes data science mentors and career coaches to help you prepare for your job search. Employment offers will depend on many factors, including your prior experience, education, and target job market.

The Learning Experience

How much time is required each week?

This is a rigorous program that will require 6-10 hours per week. Statistics, Python and Applied Machine Learning, Base SAS, Advanced SAS, SAS Predictive modeling and R programming camp, which takes place during the first 8-9 months of the program, may be more time intensive.

How will I spend my time?

This course offers a mix of individual learning, small group sessions, and larger group webinars on topics to speed up your career. You will divide your time among live instructor-led classes, Assignment solution, Case study solution, and meetings with your dedicated career coach and mentor.

What is it like to learn online with Handson School of Data Science Management and Technology and their learning collaborators?

It’s interactive, flexible, rigorous, and intended to include a lot of personal attention so that you can reach your learning goals more effectively.

    • 1:1 career coaching will help you craft an elevator pitch, cover letter, resume, LinkedIn profile, networking, interview skills, and negotiation skills.
    • Your data science mentor, an experienced professional currently practicing in the field, will make presentations and answer questions about the assignments and the final project.
    • Live webinars will focus on topics to accelerate your career in data science.
    • Live classes held in late evening or week-ends throughout the program will address your questions about what you are learning.
    • An Internship/Capstone project assignment will serve as part of your job-ready portfolio.

 When are the live sessions scheduled?

Because participants join from all over the world, we do your utmost to schedule the live sessions at times when the majority of participants can join. Typically, that will be between 8 pm and 10 pm (IST) and in weekends any time after 12 pm(IST) . All sessions may be recorded.

What do I receive upon successful completion of the program?

Upon successful completion of the course, participants will receive a certificate from The Handson School of Data Science Management and Technology. The digital certificate will be sent approximately two weeks after the program, once evaluation is complete.

Can I get the hard copy of the certificate?

No, only verified digital certificates will be issued upon successful completion. This allows you to share your credentials on social platforms such as LinkedIn, Facebook, Twitter, etc.

 

What equipment or technical requirements are there for this program?

Participants will need these minimum system requirements to run Anaconda (Python and R programming languages) and SAS from cloud. 

  • Processors: 1 GHz

  • RAM: 1 GB of RAM

  • Disk space: 1 GB

  • Operating systems: Windows 7 or later, MacOS and Linux

  • Compatible tools: Any text editor, Command prompt

Recommended System Requirements

  • Processors: 2.60 GHz

  • RAM: 8 GB of RAM

  • Operating systems: Windows 10, MacOS and Linux

  • Compatible tools: Any text editor, Command prompt

Participants would also need the latest version of their preferred browser to access the learning platform. In addition, Microsoft Office and a PDF viewer are required to access documents, spreadsheets, presentations, PDF files, and transcripts.

Do I need to be online to access the program content?

Yes, the learning platform is accessed via the internet and video content is not available for download. You can download files of video transcripts, assignment templates, readings, etc.  webinars and small group sessions will require an internet connection.

What is the program fee for the Professional Certificate in Applied Machine Learning and Data Science from Handson School of Data Science Management and Technology and what forms of payment do you accept?

  • The program fee is shown at the top of this page and payment is accepted only in INR/US dollars.
  • Flexible payment options are available
  • Flexible payment assistance is available for participants who qualify. Please contact your program advisor to discuss.

 

What if I don’t have a credit card – is there another mode of payment accepted?

Yes, you can transfer to our bank account through IMPS/NEFT. Please contact your Program Advisor for more details.

Is there an option to make flexible payments for this program?

We offer flexible payment options. There are also instalment payment options available – you can find them at the top of this page

Does the program fee include taxes? Are there any additional fees?

Yes, the program fee is inclusive of any taxes with the exception of GST Indian students.

What is your refund policy?

Participants are eligible for a full refund if they cancel their enrollment before or during their first two classes. The trial period for all programs is 2 calendar days (excluding course holidays) from and including the first day of class, which is the participant’s scheduled start date.

 After a participant is withdrawn, they will no longer be able to attend classes or 1:1 sessions with Course Leaders, Mentors, or Career Coaches, submit work for review, or access their program dashboard or curriculum.

How do I request a refund?

Participants who would like to cancel their enrollment should email [email protected] Mention refund in the subject line. No cancellations will be processed unless this form is received. The payment of refunds will be completed within 30 days after the effective date of withdrawal or dismissal.


Topics for this course

Lesson 1: An Overview of the SAS System

Lesson 2: Getting Started With the SAS® System

Lesson 3: Getting familiar with the SAS Data Sets

Lesson 4: Producing List Report

Lesson 5: Enhancing Output

Lesson 6: Creating SAS® Data Sets

Lesson 7: Data Step Programming

Lesson 8: Combining SAS Data Sets

Lesson 9: Producing Summary Reports

Lesson 10: Introduction to Graphics

Lesson 11: Introduction to Data Step Manipulation

Lesson 12: Controlling Input and Output

Lesson 13: Summarizing Data

Lesson 14: Reading & Writing Different Types of Data

Lesson 15: Data Transformations

Lesson 16: Debugging Techniques

Lesson 17: Processing Data Iteratively

Lesson 18: Combining SAS® Data Sets

Lesson 19: Introduction to the SQL Procedure

Lesson 20: Retrieving Data From a Single Table

Lesson 21: Retrieving Data from Multiple Tables

Lesson 22: Creating and Updating Tables and Views

Lesson 23: Programming with the SQL Procedure

Lesson 24: Practical Problem-Solving with PROC SQL

Lesson 25: SAS MACROS

Lesson 26: Introduction to Analytics and Basic Statistics

Lesson 27: Introduction to Probability Theory

Lesson 28: Sampling Theory And Estimation

Lesson 29: Theory of Estimation

Lesson 30: Testing of hypothesis

Lesson 31: Analysis of Variance

Lesson 32: Exploratory Factor Analysis

Lesson 33: Cluster Analysis

Lesson 34: Linear Regression and Multiple Linear Regression

Lesson 35: Logistic Regression

Lesson 36: Time Series Analysis

Lesson 37: Introduction to R programming

Lesson 38: R programming essentials

Lesson 39: Fundamentals of R Language

Lesson 40: Data Visualization and Data Manipulation

Lesson 41:Testing of Hypothesis

Lesson 42: Exploratory Factor Analysis

Lesson 43: Machine Learning with R-language

Lesson 44: Analysis of Variance

Lesson 45: Linear Regression Using R

Lesson 46: Logistic Regression Using R

Lesson 47: Time Series Analysis

Lesson 48: Decision tree and Clustering

Lesson 49: Text Mining and Sentiment Analysis

Lesson 50: Market Basket Analysis

Lesson 51: Data Science Fundamentals

Lesson 52: Data Science Implementation

Lesson 53: The Impact of Data Science

Lesson 54: Introduction to Analytics and Statistics

Lesson 55: Introduction to Python Programming

Lesson 56: Fundamentals of Python Programming

Lesson 57: Python Data Types

Lesson 58: Python OOPs concept and Function

Lesson 59: Python File Handling

Lesson 60: Data Analysis with Python and Visualization

Lesson 61: Introduction to Machine Learning

Lesson 62: Linear Regression Analysis

Lesson 63: Logistic Regression Analysis

Lesson 64: Other Classification Algorithms

Lesson 65: Dimensionality Reduction

Lesson 66: Clustering Techniques

Lesson 67: Introduction to Neural Network

Lesson 68: Software and Libraries for Neural Network

Lesson 69: Artificial Neural Network (ANN)

Lesson 70: ANN Implementation

Lesson 71: Convolution Neural Network (CNN)

Lesson 72: Recurrent Neural Network (RNN)

About the instructors

Handson™ is an online learning platform, offers live instructor-driven courses and self-paced training that provide beginners to experienced professionals who want to enhance their technology, management and other skills. 
4.91 (75 ratings)

646 Courses

163 students

Student Ratings & Reviews

4.9

Total 8 Ratings

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I got a very Descriptive picture of Data science from this Course. All the topics were very well explained in this Course.

Handson was recommended by one of my friend. Every topic was taught in a very detailed manner. Highly Recommendable.

The course content is too good. I have completed SAS and R and pursuing Python at present. The instructor is very good and taught very interestingly. The course turned out to be very useful for me.

I am a beginner in Data Science, with no technical knowledge. The instructor in this course have simplified the contents so well that made me understand very easily. Every topic was taught in a very systematic manner with practical examples.

As a non-technical professional it was a great experience learning from the basics and to the end. I learnt from hands-on sessions and they are very friendly. I am very happy to attend this program offered by Handson.

Thanks a lot to my faculty, he guided me throughout the project work. Handson organizes training programs to avail students of professional learning in the field of analytics and data science.

I have completed R. Now I am doing my project work. Really a good experience.

One of my friends recommended me for Handson. It was a great learning experience with Handson, I enrolled in the Certificate in Data Science course. Three programming languages SAS, R, and Python was taught from the beginner's level to advanced level. Faculty has good knowledge and was very supportive.

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Duration

11 Months / 264 Hours

Flexible Payment option

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Real value of the time and money.

Amrita Bhatta Charya

HSBC

The course is outstanding! Handson makes the material in the course fun and easy to learn. You will get many tools, case studies and projects. Proven solutions, and different effective ways to Learn

Min Zar Ni Lin


Deputy Director of Research
Centre for Economic and Social Development

I am very pleased with the online training conducted by Handson.

Archit Kamal Mitra

TCS

Assignments were very much helpful in order to understand the topics properly. 

Nirmal Saha

HSBC

Very helpful training program with structured content and delivery methods.

Tanvi

Ernst & Young Global Limited

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