A Complete IIM SKILLS Data Science Master Course Review
Data science is currently the most talked about career of the 21st century and there is good reason for that. The data science domain has provided multiple individuals with relevant skills a chance to prove themselves on different occasions and it will continue to offer such opportunities in the future. The industry is flexible and works well in a dynamic environment, which makes technology-based companies extensively implement data science into their strategies. Candidates are always required to keep themselves prepared for shifting trends and keep themselves updated on the most recent industry techniques. So if you are interested in uncovering the complexities of data science, IIM SKILLS brings you a perfect opportunity in the form of a Data Science Master Course.
According to modern terminologies, data science is a term used to define the intricate study of digital data. This discipline is formed based on scientific ideologies solely to gain knowledge of data and make informed decisions.
It further integrates principles from subjects such as computational statistics, calculus, computer engineering, and artificial intelligence. Since digital data makes up the basis for modern business operations, studying data science is important and the extracted insights from the data help businesses perform better than their competitors.
Even with its popularity data science is considered one of the hardest subjects to learn, especially if you are a beginner. Its core principles are important to help you decipher and overcome the world’s most difficult challenges while raising certain ethical concerns.
The subject also deals with potential privacy violations, bias perpetuation and negative societal impacts. Once you gain a level of mastery in data science you can build a lucrative career out of it, because this career path has immense potential for further growth. The demand for data science is far from being less even in the future.
Listed Below Are the Different Stages of the Data Science Lifecycle:
The Data Science Master Course is incomplete without a proper introduction to the data science lifecycle. These steps make the core of the data science discipline before you proceed into complex matters.
1. Identify/define a problem – data scientists need to base their decisions upon the data sources and find solutions to certain problems. So naturally the first step includes the problem’s identification before anything else.
You must keep in mind the process of articulating business objectives as well as an understanding of key requirements. Identification of business problems and constraints set an early onset for the entire data science project. This helps align the goals of the analysis with the needs of the organization.
2. Data collection and preparation – After you define a problem, you need to proceed with the next step which deals with the collection and preparation of relevant data.
These datasets are taken for analysis, so the process involves the identification of data sources, acquiring the data and transforming the data into formats suitable for analysis.
The process of data collection determines the final quality of the result and adds completeness to the dataset. Moreover, through the Data Science Master Course provided at IIM SKILLS you will learn to consider data governance and compliance that requirements such as data protection regulations.
3. Data analysis and exploration– Once the data has been collected the next steps follow exploration and analysis of data. The procedure follows the application of statistical techniques and data visualization to gain insights and identification of data patterns or relationships.
Exploration of raw data is a skill that is crucial for the data science lifecycle because it allows data scientists to get an idea about data characteristics and quirks.
Data exploration also involves detecting potential data quality issues or biases that influence the analysis. Your Data Science Master Course sessions will enumerate concepts such as descriptive statistics, statistical modelling, data visualization and machine learning.
4. Model building and evaluation – In this step of the data science lifecycle, you’ll learn how every data model goes through the building and evaluation stages. When you get full exposure on the topic, practical tasks like building a data model becomes easy and you learn to select suitable algorithms or techniques that align with the problem of data characteristics.
Budding data scientists can choose from different range of models, including linear regression, decision trees, neural networks and support vector machines.
However, the evaluation process is different and requires accuracy, precision, recall and the F1 score. These generally quantify the model’s predictive accuracy as well as allow for the comparison of different models or approaches.
5. .Model deployment and maintenance – When the model has been built and cleared its evaluation, it’s prepared for deployment. This stage is the final stage because after deployment the data model can be accessed by every individual on the internet, as it no longer stays private.
However, certain processes need to be kept in mind to deploy the model successfully. Batch processing enables the implementation of models periodically, to analyze large volumes of data batches, suitable for scenarios requiring less attention.
Real-time processing is another process where the model undergoes real-time inspection and instant insights and predictions are provided making it appropriate for applications. In cloud deployment, you could leverage cloud platforms, offer scalability and flexibility and facilitate easier updates and maintenance.
6. Further monitoring and maintenance – In the Data Science Master Course you’ll also learn that some applications or websites require monitoring even after deployment.
This helps understand how the app is performing and whether its responsiveness aligns with expected outcomes. Through data drift detection, changes can be monitored in input data distribution and there will be potential shifts that impact the model’s performance.
Periodical updates enable you to incorporate new data and adapt to its changing patterns. On the other hand, security measures are taken for the implementation of robust methods to protect the data model, especially when it comes to handling sensitive information.
Also Read: Data Analytics SKills
Why Are Data Science Courses Important?Why Are Data Science Courses Important?
Every professional data science course is equipped with the best modules and curriculum to ensure your all-round development. But listed below are certain specifics that you must look for when selecting an appropriate course:
Thorough understanding of the concepts: You must always choose a data science course that goes in-depth into explanations about its various components. Data science is vast when it comes to what you must learn, so attention to detail is important.
The Data Science Master Course at IIM SKILLS provides you with the advantage of exploring this vast domain without stepping foot outside your home. You’ll be able to grasp the fundamental concepts as well as their applications and learn to apply relevant points that improve your career prospects.
A data science course strives to enhance your industry knowledge: Overcoming the challenges in the data science industry requires you to have extensive knowledge regarding the domain.
Your foundations must be strong by the time you land your dream job and the data science course of your choice must guarantee that. As a budding data scientist, your worth is evaluated based on your skills and technical knowledge.
The crucial skills involve collecting, cleaning and transforming data into formats that are easy to interpret and analyse. You must make sure that the design of your courses includes case studies and projects, providing the necessary real-world skills.
Career opportunities and future readiness: In the modern data science setting, employers expect you to be skilled in every aspect of data science. This means you must have the right amount of knowledge and skillsets that you bring to the table.
Many data science courses like the Data Science Master Course simultaneously prepare you for more than one role within the industry. Your options are open for data analyst, machine learning engineer, business intelligence professional, data architect, business analyst and a variety of other positions.
With quality skillsets come higher earning potential: Most tech-based industries of 2024 recognize the advantages of relevant skills that apply to specific key areas.
These days the need for data scientists has increased by 28% surpassing its demand in the last five years, therefore, companies are willing to pay higher salaries than most jobs.
As per international standards, you could earn more than $200,000 in annual salary with a relevant background and your certification from a prestigious institute is the best way to seal the deal. Your earning potential could be massive as you get scope to improve as per experience level.
So, what are the key factors you should consider in a Data Science Master Course?
- Planning ahead is essential because you can form a general idea of what your desired position requires. Choosing a course based on that notion makes everything a lot easier.
- You must know your limitations and strengths in the form of assessing your current skills. This leads to increased focus, motivation and desire to improve.
- Before setting for a particular course, scrutinize the course content for topics that match your area of interest.
- If you’re a full-time working professional who wants to continue their education alongside their job, you must browse suitable options for live-online courses.
- Many data science courses provide excellent curricula for a reasonable price, enabling you to get the best deals.
- You must make sure the institute has enough credibility within the industry so that the certificates you collect can provide a competitive edge.
- You should have an awareness of your specific interests such as data science, machine learning, big data and others to consider taking up a specialization.
Must Read: Data Analytics Career Path
A Brief Description of IIM SKILLS Institute:
To introduce IIM SKILLS we must go back to the year 2015, when the idea behind a full-length training program originated from a successful educational blog. This institute was created by Mr Vaibhav Kakkar for the sole purpose of making quality education available to all, at reasonable prices.
IIM SKILLS works towards offering students like you a place to start your career through guided lessons, faculty support and internship opportunities for early exposure to the industry. It is the ideal place to nurture your existing qualities while building new ones.
With a mission to help you reach your highest potential, IIM SKILLS courses are updated to match current industry requirements. Its unwavering dedication towards student upskilling and provision of world-class education in more than one domain such as data analytics, digital marketing, content writing, finance, GST and investment banking has remained a constant.
You are ensured to find a course that suits your needs within a budget-friendly price range. IIM SKILLS also offers a variety of self-development programs that are catered towards beginners or working individuals who want to transition their careers.
IIM SKILLS is headquartered in New Delhi, India and operates massively through the online mode, delivering professional courses in more than 23 cities across Asia. It’s one of the achievements that earned the institute the recognition of the fastest-growing Ed-tech company in India.
The institute’s services are well-known across different nations and throughout its years of service the company has witnessed more than 45,000 learners flourish in their respective careers.
The institute serves a massive pool of top industry recruiters consisting of 500 prominent employers across the world. Some of these names include SG Analytics, Accenture, Oracle, Barclays, SAP, Cognizant, TCS, PWC, J.P Morgan, Genpact, Blackstone and Tiger Analytics.
A Brief Description of the Data Science Master Course:
IIM SKILLS’ Data Science Master Course is a recent addition to its excellent catalogue of industry topics and it does not fall short of delivering the best. The lesson plan is a careful selection of topics with the comprehensiveness that is expected from a data science course.
It starts by giving you more than 300 constructive hours of online lectures that remain true to the classroom feel, more than 150 hours of practical assignments to keep you engaged between sessions, over 16 live projects, 10+ realistic case studies for in-depth knowledge of the subject and mastery over 17 industry tools.
The course is adept with master certifications that let you establish yourself as an asset to any company. The Data Science Master Course like any other professional program provides additional skill-development components that span certain duration of months, during weekends or weekdays.
The institute guarantees you industry-relevant modules so that when you land your desired job, you are well-versed with its qualifications. Moreover, IIM SKILLS offers three industry-recognized certifications from its institute, Microsoft and Google Cloud for you to showcase.
The lesson plan follows a tools-driven training structure that leads to you progressing beyond what you can currently perform. The institute also offers an ideal learning environment which is boosted by the support of skilled mentors who help you discover new career opportunities.
They are accustomed to providing round-the-clock support to all students irrespective of their skill level. Throughout your time with the institute, you’ll be able to uncover useful tips applicable to the modern data science industry.
This course, unlike others, is paired with capstone projects from companies like PWC, British Airways and BCG. You will also bag other advantages along with the course including mock interviews and a mandatory internship. Overall, this 2-month data science online program covers all aspects required for you to become a professional.
Details of the course:
| Course | Duration | Fees |
| Data Science Course | Self Paced |
INR 24900+ GST
|
| Data Science Job Assist Program | 11 Months |
INR 64900 + GST
|
| Data Science Job Guarantee Program | 11 Months |
INR 164900 + GST
|
Contact Information:
Phone – (+91) 9580740740
Email – info@iimskills.com
Website – www.iimskills.com
Course Curriculum:
Foundation to data science
- Understand linear algebra
- Understand statistics
- Learn measures of central tendencies
- Understand measures of variance
- Learn to differentiate between business analytics, data science and data analytics
- Learn structured, unstructured and semi-structured data
- Learn about the critical success drivers
- Overview of data analytics tools and their popularity
- Understand the learning stages of analytics
Data Science with Power BI
- Introduction to these concepts
- Data preparation, modelling and analysis of expressions
- Learning reports development
Data science using Python
- Understanding core Python
- Overview of important libraries
- Learning data transformation and clearing
- Understanding data visualization
- Understanding data analysis with Python
Data science with R programming
- Understanding data import and export
- Understanding data manipulation, analysis and visualization with R
- Understand linear regression
Data science with statistics
- Learn ways of random variable, probability, SND, expected value, sampling funnel, variation, confidence interval and central limit theorem
- Learning linear regression and logistic regression
Data science with AI and machine learning (46-hour session)
- Understand hypothesis testing
- In-depth knowledge of supervised machine learning
- In-depth knowledge of unsupervised machine learning
- Understanding knowledge of AI deep learning
What Job Roles Are Applicable After the Data Science Master Course?
The Data Science Master Course is one of the few professional courses in India that opens the door to multiple career options within this domain. Since the career paths in data science all demand a wide array of skills, the training program provides you with everything in its power to help you achieve it. Some of the prominent job roles are listed below:
- Data Engineer
A data engineer has prominence among all other career paths and is a well-respected position in data science. The role’s responsibility lies in maintaining data management systems, building or testing big data ecosystems for business and ensuring that these systems remain stable.
The position is optimized by the data engineers, enabling collaboration with data scientists much easier. Most times data engineers are responsible for conducting primary as well as secondary research to collect data.
- Data Scientist
This is highly sought-after by aspiring careerists and is considered the most common outcome after completing a professional course. There are several occasions where you will have to overcome challenges in business or organizational settings but modern course structures are designed to prepare you beforehand with interactive sessions, assignments and case studies.
Various skill-building activities form the basis of your professional qualifications. However, your tasks often include practical exposure to data processes, integration and analysis that forecasts trends and recommendations. With this, you can understand industry tools that aid automated processes for budding data scientists.
- Data Analyst
Data analysis and data science are different disciplines even when they are used together by people. However, you will find certain similarities in its functionalities when you learn about it in detail. The primary tasks of data analysts include carrying out analytics-based responsibilities as well as activities of the organization that work alongside automated tools to simplify the process.
The Data Science Master Course at IIM SKILLS is equipped with strategies that help aspiring data analysts learn the process, maintain databases and analyze data to forecast trends that impact the organization. Therefore, data analysts get to be involved in making reports based on recommendations from other stakeholders.
- Data Architect
Data Architects are part of the unique career prospects in the data science domain, often overlooked by candidates who are not familiar with it. This job role requires your professional understanding of doing behind-the-scenes tasks such as chart blueprints for data management and ensuring easy integration with centralization.
Some other aspects include the protection of data using the best security measures as well as collaboration with cross-functional teams which assist smooth functionality of the database.
Similarly, this career path brings you progressive tasks like identifying data sources that form a holistic data strategy and being on par with wider organizational goals. As a learner, your performance in the Data Science Master Course is assessed to improve the overall efficiency of the systems.
Conclusion
IIM SKILLS’ data science certificate program is a blend of modern industry approaches and professional advice from industry experts, delivering a comprehensive program. You will be thoroughly guided on complex industry terms and definitions to form a clear base, especially if you don’t have a data science background.
Aside from courses that dive into the world of digital data and its varying implications, you get access to premium industry tools and career-building sessions. In a nutshell, the training program could be one of the best choices for online data science programs.
FAQs
Q) How many career options do I get after the data science course?
Your options aren’t limited to one or two choices because data science offers a plethora of lucrative job opportunities. You are free to explore your options and settle for the one that matches your skillsets.
Q) Does IIM SKILLS offer live online classes?
Yes, when you enroll into IIM SKILLS courses you get the scope to gain professional knowledge from the comfort of your home. All professional training programs at IIM SKILLS including data science are conducted on a virtual platform, where two-way interaction is possible.
Q) How do I start my career in data science?
Data science can be overwhelming to navigate for beginners, however, it’s not an impossible endeavor. You can start by learning under the guidance of professionals and later gain practical exposure through platforms like GitHub or participate in internships.