Machine Learning is a subset of Artificial Intelligence that enables computers to learn from data and make decisions or predictions without being explicitly programmed for every task.
Instead of coding explicit rules for every scenario, in Machine Learning we can provide a lot of data available and the computer detects patterns, relationships, and insights from it. It can then use those patterns to either predict an outcome, or it can classify information.
Machine Learning (ML) is more than a trend – it can improve your career no matter what you do. If you work in IT or finance or health-care or marketing or operations, understanding ML can help you grow as a professional, improve your problem-solving capabilities, and make you unique in the job market.
Batch Start Date | Location | Upcoming Slots | Timings | Enrollments Status |
---|---|---|---|---|
13th Jul'25 | Online & Offline | Sold Out SAT & SUN | 2:00 PM - 4:00 PM | Closed |
20th Jul'25 | Online & Offline | Filling Fast⚡ SAT & SUN Weekend batch | TBD | Registration Open |
27th Jul'25 | Online & Offline | SAT & SUN Weekend Batch | TBD | Registration Open |
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Data Analytics
17,641/-
Data Science with Python
24,190/-
Machine Learning.
21,240/-
R Programming
18,880/-
81,951/-
Projects for you to complete throughout the course. These provide a challenge and an opportunity for you to apply your learning.
You will get 100% job assistance according to your CTC, Experience and Present skills
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Data science is a rapidly growing, highly sought-after career path for skilled professionals. To be successful in this field, data scientists must have more than just the traditional skills of analyzing large quantities of data and programming; they must also understand the entire data science life cycle and possess an adequate level of adaptability to maximize returns at each stage of the process.
Companies are increasingly prioritizing candidates with strong skills in data science, specifically Python. Professionals who possess advanced knowledge of automation using Python, Machine Learning, Power BI, and Tableau are highly desirable as many organizations rely heavily on these programs for data analysis and visualization.
Data Science has been ranked the top job on Glassdoor and boasts an impressive average salary of $120,000 in the United States according to Indeed! Data Science is a highly rewarding career path that enables one to solve some of the world’s most fascinating problems.
Machine learning courses are structured programs that teach students the basics and advanced machine learning concepts, including algorithms, data analysis, and predictive modelling, utilising tools such as Python, Scikit Learn, and TensorFlow.
After completing a machine learning course, you can work as a Machine Learning Engineer, Data Scientist, AI Engineer, Research Scientist, or Business Intelligence Developer.
Primarily use Python for Machine Learning and its associated libraries. also some recommend installing:
It varies from institute to institute how long a machine learning course will last. Depending on the program, beginner courses may take a few weeks or several months for advanced or certification-based programs.
Yes, many machine learning courses are designed for beginners and gradually progress to more advanced topics, often with hands-on projects and real-world examples. Analytics Training Hub offers beginner-friendly machine learning courses that combine practical exercises, expert mentorship, and real-world case studies to help students build a strong foundation and confidently advance in the field with 100% job assistance.
Data science courses cover a wide range of topics, including data cleaning, visualization, and interpretation, while machine learning courses focus on training algorithms and building predictive models.
Learn Data Analytics, Power BI, Tableau, & Advance Excel with hands-on training & 100% job assistance.
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