Learning data science will assist you comprehend how to take the raw data, evaluate it, and make some interesting discoveries. When you learn machine learning along with it, you will become an expert in artificial intelligence. Want to become a data scientist and machine learning expert? Then it’s time to enroll in the Top Data Science with Machine Learning Training in Chennai.
Download Data Science with Machine Learning Course Syllabus PDF
2 Hours Real Time Interactive Technical Training
1 Hour Aptitude
1 Hour Communication & Soft Skills
(Suitable for Fresh Jobseekers / Non IT to IT transition)
4 Hours Real Time Interactive Technical Training
(Suitable for working IT Professionals)
Our Data Science with Machine Learning Course in Chennai’s main goal is to get students ready to find complex patterns in user data and then utilize those patterns to forecast outcomes and provide answers to business queries. Our data science with machine learning training will enable students to. Here are the learning outcomes of our data science with
Opting for SLA in Chennai offers multiple benefits. Here are some key highlights of SLA’s training:
Data science uses computer technology to handle large amounts of data, and includes machine learning as one of its key parts. Machine learning involves using data to make predictions, such as in handwriting recognition and spam detection. The Data Science with Machine Learning Certification training in Chennai teaches these concepts and their importance, along with other technologies like Python and SQL used in data science.
There are many reasons to learn data science with a machine learning course at SLA. A few of them are as follows:
There are no mandatory prerequisites for learning, but having a background in Java and statistics can make the learning curve easier. Knowledge of Python is also beneficial.
Our Data Science with Machine Learning is suitable for:
We have an affordable structure for data science with machine learning training fees in Chennai and it is worth your spending. Our data science with machine learning course fees in Chennai start at ₹42,500. The data science with machine learning course duration is 4 months. For further data science with machine learning course details, such as fees, duration, or current offers, kindly talk to our career counsellor directly.
For competent individuals, one of the most promising and in-demand occupations is data science with machine learning skills. Some of the popular job roles are:
Machine learning is one of the highest-paid fields in the IT industry, with many job titles paying six figures. In India, a data scientist’s fresher salary with machine learning skills can range from ₹3.5 lakhs to ₹60.0 lakhs, with an average of ₹27.9 lakhs per year.
There are many data science and machine learning applications available in real-time. Some of the real-time data science applications of ML are:
Using machine learning algorithms to segment customers based on their behaviors, preferences, or demographics.
Transferring image styles using deep learning for artistic and visually appealing transformations.
Optimizing inventory and product strategies through machine learning-based segmentation.
Optimizing supply chain operations through machine learning-based demand forecasting.
Optimizing traffic management using machine learning to predict congestion and patterns.
Predicting energy usage patterns for planning and optimization.
Predicting future values based on historical time series data using machine learning.
Generating human-like text using deep learning for automated content creation and chatbot responses.
Diagnosing diseases and planning treatments using machine learning on medical images.
Data science is the process of extracting meaningful insights from raw data through the use of tools, models, and algorithms. It encompasses a broad set of techniques including Natural Language Processing (NLP), Predictive Modeling and Machine Learning (ML). Machine learning is a subset of data science and is used to create models and algorithms that can automate tasks and make predictions based on the data.
The most popular programming languages used for machine learning are Python, R and Java. Python is heavily used for Structured Data Analysis (SDA) and Predictive Modeling (PM). R is used for Data Mining (DM) and Visualization (Viz). Java is primarily used for Natural Language Processing (NLP).
Software engineering is the process of designing, developing, deploying, and sustaining software. Machine learning is a subset of software engineering and is used to create models and algorithms that can automate tasks and make predictions based on the data.
Mathematics plays a critical role in machine learning. It enables the development of algorithms and models that can be used to identify patterns and create predictions from the data. Mathematics is also used to create models with greater accuracy and improve the predictive power of machine learning systems.
Supervised machine learning is the process of training a model on a labeled dataset. The labels are used to guide the learning process, allowing the model to accurately predict the target variable. Unsupervised machine learning is the process of training a model on an unlabeled dataset. The model is left to its own devices to identify patterns and make predictions from the data.
Data science can be used to identify customer pain points and opportunities for improvement. By analyzing customer data such as customer feedback, transactional data and online reviews, it is possible to identify trends and patterns that can be used to optimize the customer experience.
The benefits of using machine learning include improved accuracy and efficiency in automating tasks and making predictions from the data. Machine learning models can also handle large amounts of data and enable companies to gain insights from the data that were previously not possible.
Yes, there is a high demand for data scientists with knowledge of machine learning, as machine learning is an increasingly important technology in many industries such as finance, healthcare, and e-commerce.
The Data Science with Machine Learning course will teach you how to use data science tools and techniques to extract meaningful insights from data. You will gain skills in data wrangling, data exploratory analysis, predictive modeling, supervised and unsupervised learning algorithms, and natural language processing.
The Data Science with Machine Learning course prepares you for a career in data science or machine learning. Many graduates of this course have gone on to work as data analysts, data scientists, machine learning engineers, and AI developers in a variety of industries.
The skill requirements for these two professionals are very similar. Let’s see the common skillsets:
Machine Learning Engineer Roles:
Data Scientist Roles:
