Machine learning (ML) and data science have distinct functions and goals. Machine learning is a set of methodologies that enables computer technology to learn from data, whereas data science is a strategy to extract insights from data.

However, there is a similarity between data science and machine learning. Both the fields employ arithmetic, statistics, and algorithms to derive value from data. If you want to pursue a career in data science or machine learning, then a certificate program in data science and machine learning will help you get a headstart in your career. 

What is data science?

Data science deals with data to gain essential business insights. It is a multidisciplinary way of analysing vast volumes of data. The demand for data scientists has increased in today’s market.

What is machine learning? 

Software programmes can predict outcomes more correctly with machine learning, a subset of artificial intelligence, without needing explicit instructions. ML algorithms come up with new output values through the previous data. Machine learning is vital because it helps create new things and provides businesses with a picture of trends in consumer behaviour. For many companies, machine learning has emerged as a necessary vital differentiation. An IIT Roorkee machine learning certification course will be perfect for you if you want to pursue a career in the field.

Role of machine learning in data science  

Machine learning  is implemented in data science  in the following steps: 

Step 1: Data collection

Data collection is the first step in machine learning. Notably, machine learning assists in gathering and analysing any kind of data (structured, unstructured or semi-structured) from any database throughout systems following the business challenge. 

Step 2: Data preparation and cleansing 

Data preparation uses various ML techniques for assessing the data and making features according to the business requirements. When defined correctly, ML systems comprehend the elements and connections between them.

Data in the real world is dirty and polluted with inconsistencies, partial information, noise,  and missing values. Thus, you will have to clean the data after data preparation is finished.

Machine learning allows us to quickly and automatically identify missing data, do data imputation, encode category columns, and eliminate outliers, duplicate rows, and null values.

Step 3: Model training 

The machine learning method’s selection and the training data’s calibre are essential components of model construction. The requirements of the end user are used to select ML algorithms.

You should also consider the model method’s complexity, performance, interpretability, computer resource requirements, and speed if you want your models to be more accurate.

After selecting the best machine-learning technique, the training data set is divided into two halves for training and testing. This is done to determine the bias and variance of the ML model.

The model training procedure will produce a functional model that can be further evaluated, validated, and deployed.

Step 4: Model prediction 

Understanding prediction mistakes is essential when discussing model prediction (bias and variance).

Having a solid understanding of these issues would make it simpler to construct accurate models and prevent the flaws of overfitting and underfitting the model.

To further reduce prediction errors, a good data science project should find the right balance between bias and variance.

Advantages of pursuing a data science and machine learning certificate course

The best way to learn about the two is through a certified course. Here we have listed some of the benefits of a data science and ML certification course:

• You can use your technical expertise and knowledge of ML and data science principles like probability, deep learning, mathematical modelling, statistical analysis, and data optimisation to impact your work.
• You get familiar with the ideas behind supervised and unsupervised learning models that can forecast various types of behaviour.
• The most prestigious businesses in virtually every industry across international marketplaces have a high demand for certified data science and machine learning training specialists.
• Obtaining a professional data science and machine learning certification is one of the best methods to stand out. It will demonstrate to employers that you possess the skills and knowledge required to succeed in your position.
• Data science and machine learning are both new and constantly growing in demand. A certified course in these areas will put you a step ahead in your career.

Conclusion 

A certified course is the best way to learn if you want to know more about machine learning and data science. The Imarticus IIT Roorkee Data Science and Machine Learning course spans 5 months and offers live training by IIT faculty and industry experts. In addition, one can avail personalised mentorship for building start-ups and funding. 

Data science is a field that studies data and how they extract meaning from it. It uses different methods and tools to extract, analyse, visualise and manage to create insights from structured as well as unstructured data. On the other hand, machine learning is a field of artificial intelligence that includes the development of software and algorithms which can make predictions based on data.

The Certification Program in Data Science and Machine Learning will help you to get started with these specialised domains. This program focuses on teaching the candidates about the different aspects and fundamentals of data science and machine learning. It ensures that you are equipped with the proper knowledge for implementing and applying your skills in real-world situations.

The Certification Program in Data Science and Machine Learning will consist of 5 months of live online training where you will use Python to learn more about data mining, data exploration, artificial intelligence, etc. This course will help and guide you to become professionals who can give meaningful insights from data and guide businesses to make correct decisions for their growth. 

Top 5 Advantages of Data Science 

Data science combines principles and practices from the field of statistics and mathematics to analyse data. It includes massive benefits and some of them are as follows: 

• Data Science is Versatile 

Data science is a versatile field as it is widely used in banking, healthcare, consultancy services and e-commerce industries. Hence, you will have opportunities to work in different fields. 

• Data Science Makes Data Better 

Every organisation requires skilled data scientists to process and analyse their data. This is because they enrich the data and make it better for an organisation. 

• Data Science can Save Lives

Data science has greatly improved the healthcare sector. It is used in healthcare for a variety of purposes, including improved diagnosis, drug development and prevention. Various healthcare industries are using data science to help their clients.  

• Data Science Makes Products Smarter

 Data science involves machine learning, which helps industries to create better products for better customer experiences.

• Abundance of Positions 

Data science is a wide field that will give you various opportunities to grow and it is high in demand. This makes it a lucrative career option for you. 

 Skills Required to Build a Career in Data Science

The skills which are required to pursue a career in data science are as follows: 

• Good communication and teamwork skills
• Strong knowledge of programming languages
• Understanding of maths and statistics
• Data visualisation skills 

Top 5 Advantages of Machine Learning 

Machine learning is an area of artificial intelligence that includes the development of software. Some of the benefits of machine learning are as follows:

• Fraud Detection

Detecting and preventing fraud in today’s time is very essential. Therefore, machine learning is a great source for detecting fraudulent activities in financial transactions.

• Predictive Analytics 

Both machine learning and data science can help to predict future trends and events. These predictions further help businesses to keep up with these trends and make better decisions for their organisation. 

• Healthcare   

Machine learning has a role in healthcare too. It can identify cancer cell and heart complications. It is also used for personalised medicine, which involves treatment based on a patient’s genetic makeup. 

• Finance 

Machine learning can improve financial forecasts. Having a better understanding of risk can help businesses to make more informed decisions about their investment of money as well as how to protect their assets.

• Data Mining 

Machine learning can be used for mining big data. By using this information, a data scientist can find new customers, can predict trends and can also improve business operations. 

Skills Required in Machine Learning

Some of the skills required in machine learning are as follow: 

• Programming knowledge such as Python 
• Ability to conduct data analysis 
• Understanding of statistics and probability 
• Expertise in computer science 

Conclusion

Data science is vital for almost every field. With new advancements and discoveries, you always get the opportunity to learn something new. If you decide to pursue a machine learning course you achieve an IIT Roorkee machine learning certificate upon completion of the course successfully.  We see that the importance of these courses is increasing day by day. There is the flexibility of live online sessions with top faculty of India. They aim to upgrade your knowledge and skills to set you ahead of the competition. This course will not only help you to build a career but also helps you in your personal growth.  

Learn the top 5 data science and machine learning hacks

It is clear that the world is moving towards machine learning and data science technology. The demand for machine learning professionals has skyrocketed in the last few years. To stay ahead of the competition and secure your future, it pays to know some of the most valuable machine learning/data science hacks that can help you succeed.

And one of the ideal ways to learn these machine-learning hacks is through machine-learning certification courses. These courses provide a comprehensive overview of machine learning and data science concepts and techniques, giving you the knowledge and skills to use machine learning in multiple scenarios. 

Moreover, the good thing about machine learning certification courses is that they are available online, so you don’t have to leave your home or office to attend them. You just have to enroll in one of these courses and start learning machine-learning hacks with ease.

So, what are some of the machine-learning hacks you can learn through machine-learning certification courses? 

Well, here are the top five machine learning and data science hacks that you should consider learning:

Understand Machine learning frameworks:
It’s true that without a machine learning framework, machine learning will not be able to execute. So, you should have an in-depth understanding of machine learning frameworks. Also, explore machine learning algorithms and work on hands-on machine learning projects to gain an in-depth understanding of machine learning.

Experiment with data:
Data is an essential component in machine learning. So, experiment with different types of data like text data, image data, audio data, etc., to get a better understanding of how machine learning works. And try to use data from different sources to get insights into machine learning. You can also use data visualization tools to explore data.

Creative thinking:
Machine learning is all about creativity. Think out of the box and fill up your mind with creative ideas to solve machine learning problems. These creative ideas can be applied to build machine learning models or improve machine learning accuracy.

Get practical experience:
Machine learning can be learned through theoretical courses, but that doesn’t make you an expert. You need to have practical experience in machine learning and data science projects to become an expert. So, enroll in data science online training programs from reputed organizations.

Knowledge of Statistics:
To understand machine learning and data science, you need to have a good grasp of statistics. You should know the basics of descriptive and inferential statistics for machine learning applications. Furthermore, gain an understanding of machine learning accuracy measures such as precision and recall.

These are the top 5 machine learning and data science hacks that will help you build a successful machine learning career. With these tips in mind, you can become an expert machine-learning engineer and get ready to take on complex machine-learning projects! 

Discover Data Science and machine learning certification courses with Imarticus Learning.

With this IIT Roorkee data science and machine learning course, students can lay the foundations for their data science careers. The curriculum will provide them with an understanding of data science and machine learning principles, along with the ability to apply these concepts practically.

 Course Benefits For Learners:

• This five-month course, developed by IIT faculty members to help students understand data mining and machine learning methodologies, introduces them to Python.
• This certification course is taught by subject matter experts and provides students with the opportunity to learn machine learning algorithms.
• By enrolling in our online program, students can set themselves up for success in data science.

 Visit our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad, or get in touch with us via chat support.

IIT Roorkee has announced a new Data Science and Machine Learning Certificate Program. This program aims to provide students with hands-on training in data science, machine learning techniques, and domain-specific applications using Python.

The increasing importance of Data Science And Machine Learning

Data science is a hot topic in the industry and has increased over the past few years. Data Science is a method for extracting only significant insights from a vast amount of data by combining statistics, scientific principles, and algorithms. It is an interdisciplinary field with a solid foundation in business, computer science, statistics, and mathematics.

Machine learning aids in developing new products and provides businesses with a view of trends in consumer behavior and operational business patterns. In many of today’s top companies, including Facebook, Google, and Uber, a considerable portion of the operations revolve around machine learning.

Data scientists use their skills to solve problems with data and make predictions about how people will behave through this information. They build models that can tell them what will happen next (like predicting gun violence), or they build tools that allow you to quickly analyze large amounts of data (like Google Analytics).

Data scientist positions are available across many industries because they require expertise in different areas — including software engineering, machine learning algorithms design & implementation, mathematics & statistics education research methodology. 

IIT Roorkee Launches A New Programme In Data Science And Machine Learning

Data science and machine learning are two sides of the same coin. They are both a subset of computer science but have different focuses. Data scientists use algorithms to analyze large amounts of data, while machine learning experts develop algorithms that automatically learn from previous experiences and make predictions based on those experiences. 

In this course, students will learn how to build machine learning models using Python programming language (the most popular language for data scientists). 

The iHUB DivyaSampark at IIT-Roorkee and Imarticus Learning have jointly launched a certificate program in data science and machine learning (ML). After passing the course, students can consider careers as data analysts, managers, data scientists, business analysts, business intelligence specialists, and consultants in data analytics. 

Additionally, iHUB DivyaSampark will provide a platform for Data Science and Machine Learning enthusiasts and students to present their start-up concepts and request financial support. The course concludes with a campus immersion module.

Explore A career in Data Science with Imarticus Learning.

With the help of this certificate program in data science and machine learning, students can launch their data science careers. Through this data science online training, students will learn the fundamentals of data science and machine learning as well as the skills and knowledge necessary to apply these ideas in the real world.

Course Benefits For Learners:

• This five-month program, designed by IIT faculty members, will teach students how to use Python to understand data mining and machine learning methodologies.
• Leading academics from India will instruct this online data science certification course.
• Our IIT data science certification course will help students build a strong foundation in data science and Machine Learning.

 Contact us through chat support, or drive to our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad.