Data Science and Machine Learning

 Course Description

There is data everywhere. We produce, share, and retain it. However, what if you could use it to make more informed choices? This is where data science and machine learning making data driven decisions comes into play

Data is the main focus of this course. Discover how to utilize it for estimation, cleaning, and evaluation. We simplify difficult subjects into manageable lessons. This training ensures that you gain practical experience regardless of your level of experience.

No monotonous lectures. Only hands-on learning. Along the way, you'll develop actual applications using Python for data science and machine learning. Does that seem exciting? Let's begin! 

Why choose Expert IT for Data Science and Machine Learning Course?

Expert IT isn't your typical training institution. We operate in a unique way.

Industry professionals serve as our trainers. They have developed huge machine learning models, managed big datasets, and worked on enormous projects. You learn more than just theory when you study under them. You get knowledge from experts who understand how to use machine learning and data science in making data-driven decisions in actual business situations.

We also emphasize hands-on learning. There are assignments, case studies, and practical projects in each module. Additionally, both beginners as well as professionals can benefit from our data science and machine learning bootcamp. We have everything you need, whether your goal is to level up or change jobs! 

What You Will Learn

• Preprocessing and data wrangling

• EDA, or exploratory data analysis

• Algorithms for machine learning

• Python for data science and machine learning projects

• Basics of deep learning

• Techniques for data visualization

• Putting machine learning models into practice

• Practical projects
  
  

You won't only learn machine learning and data analytics at the end. But also you'll understand how to apply it in actual business situations.

Course Content and Syllabus for Data Science and Machine Learning Course Training

A preview of what you will learn in this course:

Module 1: Overview of Machine Learning and Data Science

• What is data science and machine learning bootcamp?

• How businesses utilize data science and machine learning for making data-driven decisions

An overview of Python for machine learning and data science

Module 2: Preprocessing & Data Management

• Gathering and cleansing data

• Taking care of missing values

Techniques for feature engineering

Module 3: Fundamentals of Data Analytics and Machine Learning

• Analysis of statistics

• Techniques for classification and regression

• Learning that is supervised versus unsupervised

Module 4: Complex Machine Learning

• Deep learning & neural networks

• Performance tuning and model evaluation

Module 5: Practical Assignment

• Deployment of a machine learning model from start to finish

• Dealing with big datasets

The final capstone project


Expert IT Academy Trainer’s Profile for Data Science and Machine Learning Course in India

Trainers have a huge impact.

The trainers at Expert IT are certified experts with practical business experience. Globally, they have instructed thousands of students. Their expertise in machine learning and data analytics learning guarantees that you receive practical experience rather than only theoretical understanding. They prepare learners appropriately since they are aware of the difficulties encountered in real-world settings.

The data science and machine learning bootcamp emphasize on practical applications. They make learning relevant and interesting by using actual case studies. The goal of every session is to simplify difficult ideas. Instructors promote interactive learning by letting students pose queries and talk about current business concerns.
The ongoing assistance provided by Expert IT's teachers is one of the main benefits of studying from them. Students can get help, career advice, and test-taking strategies even after the training. They ensure that learners are well-prepared for the exam .

These educators have years of industry experience  and have worked with leading companies, developing machine learning models and managing large-scale data projects. Students benefit from their knowledge, which help them understand data science and machine learning while making data-driven decisions from an industry point.

Future Trends in Enterprise Networking

Data is a rapidly evolving field. What comes next?

• Automation driven by AI: Machine learning and data science enable quicker and more intelligent data-based decision-making.

• Cloud-based data analysis: For improved data analysis and storage, businesses are turning to cloud solutions.

• IoT & Edge Computing: More technology, more information, more chances.

• Advanced deep learning: As neural networks develop, artificial intelligence is becoming more intelligent than before.

• The future is driven by data. And you'll be ready for it with this course!
  
  

Exam Format and Details

You must pass an exam in order to obtain certification. This is how it operates:

• Exam Type: Hands-on project and multiple-choice questions (MCQs)

• Time duration: 2 hours

• Passing Marks : 70%

• Mode: Online;

• Stage of Difficulty: Moderate to Advanced

• Retake Guidelines: If you fail the exam the first time, you have two weeks to retake it.
  
  

The exam includes both theoretical and practical questions to make sure you understand both basic and complex ideas. A vital part of the certification process is the practical project, in which you will be assigned real-life data sets for analyzing and techniques from machine learning . This allows you to evaluate both your theoretical knowledge and problem-solving abilities.

Advantages of Data Science and Machine Learning Course Certification

Reasons why you should this certification

Increased job opportunities: Employers are actively looking for qualified experts with the ability to use machine learning and data analytics efficiently.

Better pay: Compared to non-trained specialists, qualified data scientists typically make a lot more money.

Practical skills: This certification guarantees that you acquire practical experience through projects in addition to theoretical knowledge.

Industry recognition: In the very competitive employment market, having a globally recognized credential makes you stand out.

Career growth: Getting a certification can help you obtain leadership positions in data science teams

Benefits for networking: A lot of certification programs give you access to industry events, conferences, and special forums where you can meet experts.
Flexibility in employment: If you are proficient in Python for data science and machine learning, you can work in a variety of sectors, including tech, healthcare, finance, and retail.

Continuous education: This certification with teach you all the recent market trends in AI and ML.

Having a certification demonstrates your commitment to data analytics and machine learning. It guarantees long-term professional development and opens doors to fascinating job options.

FAQs

1.Who is this Course designed for?

Anyone interested in machine learning and data analytics. Professionals as well as beginners both can enroll and benefit from this course

2. Do I require prior coding experience?

A little understanding of Python is helpful. Here you learn everything scratch

3. What is the course duration?

The program is flexible and adaptable. It usually takes two to four months.

4. What tools and software do I require?

TensorFlow, Scikit-learn, Pandas, Jupyter Notebook, and Python are the few tools you will learn.

5. Will I receive assistance with placement?

In fact! We offer job placements, resume building classes ,and interview preparation.