What is Data Science?
Data Science is the field that uses methods, processes, algorithms, and systems to acquire knowledge on structured and unstructured data. The course of data science is to train professionals skilled in organizing and analyzing a massive amount of data.
The professional data scientist was coined in 2008 when industries realized the need for a professional to manage and analyze all the data of the business.
In 2009, in a McKinsey and Company Article, Google’s chief economist Hal Varian and UC Berkeley professor of information sciences, economics, and business predicted the importance of adapting technology to markets.
The companies that did profit by hiring data analysts or Big Data are Amazon, American Express, BDO, Capital One, General Electrics, Miniclip, Netflix, Next Big Sound, Starbucks, T-Mobile, etc.
They pocketed huge profits by implementing Marketing Analytics methodologies and now almost their client handling sectors are dependent on these professionals.
The data science life cycle has the following five stages:
- Capture- data collection, data entry, signal reception, data extraction.
- Maintain- data warehousing, data cleansing, data staging, data processing, data architecture
- Process- data mining, data clustering or Classification, data modeling, and data summarization.
- Analyze: exploratory or confirmatory, predictive analysis regression, text mining, qualitative analysis.
- Communicate: data reporting, data visualization, business intelligence, decision making.
Today, I will be comparing two prominent institutes on their data science courses. Henry Harvin and IBM courses have become the two big hotshots of the training industry where students often get muddled about which to choose.
Hence I will make a detailed but compact analysis of their courses based on some factors. The factors are The Course Curriculum, the Evaluation for Certification, Course Expenses, and Additional Benefits.
After analyzing each factor, I will clearly state which course from which institute is the best among the two in that sector. And at the end of all the factors, I will declare the best institute for data science keeping in mind all the points of the other elements.
The conclusion will be more like a Henry Harvin and IBM data science certification course review by me.
Comparison #1: The Course Curriculum
Data science is a professional course that is a core oriented work in businesses, and training individuals on this particular course is a task taken up by many institutes like our competitors.
A data science course should have a detailed explanation of the topics required in industrial processes. I will now compare based on Henry Harvin and IBM reviews and website information.
IBM Data Science Program:
IBM training has partnered with many online learning platforms like Coursera, BDU, edX, etc. to provide a data science professional certification program.
This program consists of 9 different courses that cover all the basics of the complexities of data science. The course is suitable for beginners in the field though some pre-requirements like basic knowledge on MS-Excel.
The course is not time-limited and not driven by an instructor through live sessions. The IBM reviews claim that one might take two months or more to cover the entirety of the program.
The nine courses in the program are:
Course 1- What is Data Science?
This part covers the basics of data sciences. The first course mostly explains the applications of data sciences in the industry, like data mining, linear regression, etc. This course is also like an introductory session with interviews from students or professionals and IBM Watson.
Course 2- Open Source Tools for Data Science
The second course focuses on the application of tools like Jupiter Notebooks, RS Studio, IBM Watson, and Zepplin. This will get the students started on programming.
Course 3- Data Science Methodologies
This course is provided with a highly interactive thinking model for the improvement of programming knowledge. This step is an essential one to create a mindset of becoming an influential analyst.
Course 4- Python for Data Science
This is the actual part where a student fully involves coding by learning about Python, Pandas, and NumPy. This course also includes the first project using Watson Studio.
Course 5- Databases and SQL for Data Science
This course is taught by using the IBM Cloud platform, and the course consists of building databases, collecting data, and analyzing those using Python. This course also introduces the students to a more complex project than the last session.
Course 6- Data Analysis with Python
The 6th course involves data analysis techniques like finding and wrangling data, statistical analysis, and modeling of data.
Course 7- Data Visualization with Python
This course is about data visualization by using a line graph, bar charts, pie charts, Waffle, and Folium specialized display all through Python.
Course 8- Machine Learning with Python
This course, according to the IBM data science reviews, was one of the most challenging parts of the program. This course covered the Classification, clustering, simple regression model, and recommendation systems. This course consists of a machine learning project using four different protocols to set up data.
Course 9- Applied Data Science with Capstone
This is the course with the Capstone project. The first half of this course consists of a learning module. The next half of the course consists of two projects. According to the IBM reviews, the first project is with a given set of data, and the second project was an open-end project.
Henry Harvin Market Analytics Course:
The data science course of Henry Harvin is a 5days/20 hour course, i.e., carefully designed by domain experts and based on international industry standards of most in use practices for marketing tools and analysis.
The course is divided into the four following modules:
Module 1- Introduction, Data, and Analytics, Linear Regression
The first module consists of a detailed explanation of the basics of analytics and its industrial use, data collection and data handling, marketing data using Excel, R-programming, Linear Regressions, and several case studies.
Module 2- Logistic Regression
The second module consists of Classification of techniques in a business model, introduction to logistic regression models, Applications of logistic regression models, Case studies, Generalizing of linear models using R, Shortlisting the significant variables, Test versus train data sets, Confusion matrix and Evaluation of model as well as Business recommendation.
Module 3- Decision Tree
This is a module with an introduction to a decision tree, Applications and industry examples, Types of the decision tree, Splitting Algorithms, Case Study, R-code, Interpretation, Final output, Case Study, Interpretations, etc.
Module 4- Clustering, Market Basket Analytics, Framework to solve analytics case studies
This is the final module, and it consists of the basics of K-means, Recency Frequency Monetary models, the fundamentals of Market Basket Analytics and Algorithms, the last set of case studies, CRISP-DMM and other frameworks.
And in the course, students practice data analysis with industry tools like R and Advanced Excel.
The teaching methodology is Goal-Centric and Action-Oriented of the senior expert trainers at Henry Harvin. Students are engaged in the demonstration of business case studies using statistical tools.
Brainstorming exercises are done using Adaptive Problem Solving Methodologies along with live online theory classes.
Both the institutes have outstanding structured data science programs with a well-structured curriculum. But Henry Harvin, unlike IBM, conducts live online sessions for virtual learning that helps a student stay focused on the course, whereas for being a course with unlimited time and no driving factor often leads to distraction.
Secondly, Henry Harvin doesn’t have any pre-requirements for the classes as the IBM learning of data science course does, and hence students can avail the course with full enthusiasm.
Thirdly the hands-on projects and business study cases give participants of Henry Harvin an idea about the industrial atmosphere, which later comes in handy.
Plus, according to the IBM reviews, the videos and quizzes were not highly interactive and lacked student input. The evaluations don’t come with feedback, which causes a problem among students.
The conclusion I have come to on the factor of the curriculum of Henry Harvin and IBM courses of data science is that Henry Harvin is better in this field.
Comparison #2: The Examination and Certification
In this factor, I will discuss the passing criteria on the Evaluation at the end of the data science course of each institute and the standard of certification they provide.
IBM Data Science Certification Program:
IBM conducts nine courses in the data science program where each participant receives a badge at the end of each session. And at the absolute end of IBM training, they provide a course completion certification.
The assignments are merely multiple-choice type based, which makes it easier for automatic checking.
Henry Harvin CMAP Course:
Henry Harvin conducts one examination at the end of the course in which a student needs to obtain 50% to get the certification of completion.
The internationally recognized certification comes with a hallmark credential of ‘Certified Marketing Analytics Practitioner’ (CMAP) that sits next to a professional’s name. This credential ensures a state of recognition of the individual and distinguishes their CV from others during an interview.
In this field, both the competitors have very impressive global standard certification to offer, which makes it difficult for me to come to a choice.
The IBM data science professional certificate reviews do mention the badges and the certificate to have highlighted their profile. Still, in my view, the CMAP hallmark is a plus point in favor of Henry Harvin. Here too, Henry Harvin beats IBM by the hair.
Comparison #3: Course Expenses
Since both, the institutes are offering online courses (though with different teaching methodologies) makes it easier for me to compare them on the same basis.
From the information that I gathered by going through some IBM reviews were that in Coursera, the program is subscribed every month. The monthly program subscription is $39 i.e., almost Rs.3000.
Now a student might take two months pr longer to cover the entirety of the courses and hence will be paying the subscription fee per month until the course completion or course cancellation.
Henry Harvin CMAP Course:
The course fee of data science at Henry Harvin is Rs. 15000, which is inclusive of all taxes and examination fees. Henry Harvin in this course fee, offers lifetime access to their online LMS platform with vast content, which a student can use to access content on any topic.
And Henry Harvin also provides support in their institute or their associate firms, the trainers guide students well for job interviews. The reputation of Henry Harvin proceeds itself, which is also why the alumni group of students of this institute are established in noteworthy companies and overseas.
Even though the course fee might be less for some students of IBM (as per the IBM data science reviews who can or did complete the course in 3-4 months or less, but for many the self-paced course took as long as a year or longer to complete.
This creates a notion of uncertainty among students, and here Henry Harvin scores again. The course fee of Henry Harvin is affordable, and the things they offer on the plate are way more than one can ask for at that price.
Comparison #4: Additional Benefits
In IBM data science courses, you get to use some IBM products like Cloud services and Watson. The last course among the 9 of IBM data science certified program is an open-end project from Capstone that helps you as a code developer. The badges after each course completion highlight your profile on sites like LinkedIn, etc.
Henry Harvin Education
Henry Harvin provides a very economical course for fast learning of practically used tools in Marketing Analytics. They assure a 100% placement, and internships support entitled for the CMAP professionals.
Henry Harvin engages students in gaining full exposure to customer data through multiple sources. And one of the best points would be making students understand analytics-based marketing to drive ROI for their marketing campaigns.
Both the institutes have a handful of opportunities to offer participants, but it is up to the participant to engage in the course diligently and acquire success.
The benefits that Henry Harvin offers are more practical and impressive; the job support is a rare responsibility any institution seldom takes. Here too, Henry Harvin seems to have secured another point against IBM learning.
After much Evaluation and comparison, I could clearly say for both institutions in favor of or against them. Both Henry Harvin and IBM had created a milestone as data science certified training course providers in India as well as internationally.
By creating online learning platforms, they have fully reaped the advantages of technology and bring ease to many students’ and professionals’ life.
Like a beam of knowledge, both institutes shine with embracing their differences but being a master of their domain. A marvelous job is done by Henry Harvin and IBM data science certificationprogram in getting recognized globally.
But since I have to provide a critical review as to which institute among Hnery Harvin and IBM has the best data science course, I would honestly incline for Hnery Harvin.
My opinion is solely based on the points mentioned during the analysis of each factor that one must look for before choosing an institute. Hence I conclude that the data science course of Hnery Harvin is the best and is highly recommended.