Expert Data Science & AI Courses in Trombay

Embark on a data science journey with Sami Infotech's Data Science and AI Courses in Trombay. Our data science training institute in Trombay offers extensive training in SQL, Excel, Power BI, Tableau, Python, data analysis, machine learning, and artificial intelligence. Engage in hands-on projects to develop data-driven solutions, mastering data visualization, analytics, and software testing. Our program covers everything from data manipulation to advanced AI techniques. Enroll in our machine learning course in Trombay and AI Training Course in Trombay to excel as a data scientist.

WHAT'S INCLUDED

IBM Certification

Capstone Project

Hands on learning

Live Projects

10-20 Assignments

10-20 Exercises

Certificate of Completion

Course description

Data Science

Artificial Intelligence

Statistical Analysis

Java Programming

AI Techniques

Predictive Analytics

Deep Learning

Statistical Modelin

Big Data

Data Science Tools

Machine Learning Algorithms

AI Model Development

Predictive Modeling

Aspiring Data Scientists

AI Enthusiasts

What you will learn

Learn to design, query, and manage relational databases using SQL. Gain proficiency in data manipulation and retrieval for effective database management.

Master Excel for data manipulation and analysis. Learn advanced functions, pivot tables, and data visualization techniques to manage and analyze data efficiently.

Gain skills in Power BI to create interactive data visualizations. Learn to connect, transform, and visualize data to derive insights and make data-driven decisions.

Learn Tableau for powerful data visualization. Create interactive dashboards and perform in-depth data analysis to uncover trends and insights in your data.

Master Python programming for data science. Learn core concepts, libraries, and tools to manipulate, analyze, and visualize data effectively.

Enhance your Python skills for data analysis. Use libraries like Pandas and NumPy to perform data cleaning, transformation, and statistical analysis.

Understand machine learning algorithms and techniques. Learn to build, train, and evaluate models using Python to solve real-world problems.

Explore artificial intelligence concepts and applications. Learn to develop AI models, understand neural networks, and implement AI solutions using Python.

Learn techniques for cleaning and preprocessing data to ensure quality. Gain skills in handling missing values, outliers, and data transformation for analysis.

Engage in hands-on projects to apply your knowledge. Work on real-world data science problems to gain practical experience and build a strong portfolio.

Certification

At Sami Infotech, we offer a range of highly regarded certifications that add significant value to our students' professional journeys. Our certifications include both government-recognized credentials and prestigious international certifications, ensuring our graduates stand out in the global job market. These certifications validate the skills and knowledge acquired during our courses, providing a solid proof of competence to prospective employers. From local industry standards to global benchmarks, the credentials offered by Sami Infotech support career advancement in tech industries worldwide. Whether you are just starting out or looking to enhance your expertise, our certifications open doors to numerous opportunities, making them a crucial part of your educational experience.

Government

Frequently Asked Questions

Here are some of the frequently asked questions regarding this course .

The course covers key topics including machine learning algorithms, artificial intelligence techniques, predictive modeling, data analysis, and statistical modeling. You'll also learn about deep learning, data visualization, and practical applications in real-world projects.

No prior experience is required for this course. It is designed for beginners and covers fundamental concepts and tools necessary for mastering data science, AI, and machine learning. Basic knowledge of programming and statistics can be beneficial but is not mandatory.

You will gain skills in machine learning model development, data analysis, statistical modeling, artificial intelligence techniques, and data visualization. The course also provides hands-on experience with real-world data projects and practical applications of AI.

The course is typically delivered online with a mix of video lectures, interactive exercises, and practical projects. Resources include access to data science tools, datasets for practice, and forums for peer and instructor support. Some courses also offer certification upon completion.

Upon completion, you can pursue various roles such as Data Scientist, Machine Learning Engineer, AI Research Assistant, Data Analyst, and Business Intelligence Analyst. The skills acquired will prepare you for careers in data-driven industries and technology sectors.

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