Welcome to i2iSpecialist Technologies
Data_Science_Course_Slide_2_Introduction_to_Data_Science


COURSE INSTRUCTOR

Data_Science_Instructor_Sandip_Gadekar

Sandip Gadekar

Data Science Instructor
★★★★★ (4.9)

Sandip Gadekar boasts over 5 years of experience in data science, specializing in Python, R, SQL, Machine Learning, Deep Learning, and Data Visualization. With a strong foundation in data analysis and modeling, he excels at deriving insights from complex datasets. His expertise includes building predictive models and utilizing statistical techniques to solve real-world problems. Passionate about teaching, he focuses on hands-on learning and real-world projects to equip students with practical skills.

BASIC INFORMATION


  • Length : 6 Months
  • Level : Basic to Advanced
  • Category : Technology
  • Class Mode : Online/Offline
  • Started : 1st / 15th Every Month
  • Daily Time : 2 Hr
  • Days : Mon - Fri
  • Class Strength: 10 / Per Batch


Course Description

Dive into the world of data science with our comprehensive Data Science course. This program is designed to equip you with the skills and knowledge needed to analyze, interpret, and make data-driven decisions.

You will learn a range of data science techniques and tools, covering a range of technologies including Python, R, SQL, Machine Learning, Deep Learning, and Data Visualization. Our hands-on approach ensures that you gain practical experience and can apply what you've learned in real-world scenarios.

By the end of the course, you will have developed several projects and an internship, making you job-ready and confident in your ability to tackle any data science challenge.

Course Syllabus

Module 1: Introduction to Data Science

Get started with the basics of data science, including Python, R, and SQL. Learn how to collect, clean, and analyze data, and understand the core concepts of data science.
Dive deeper into data analysis with advanced techniques and tools like Pandas, Matplotlib, and Seaborn. Learn how to create insightful visualizations and communicate your findings effectively.
Explore machine learning algorithms and techniques with Scikit-learn. Learn how to build and evaluate predictive models to solve real-world problems.
Apply what you've learned by diving into deep learning and artificial intelligence with TensorFlow and Keras. Build neural networks and understand advanced AI concepts.

Real-World Student Projects


Explore the outstanding student projects and practical work, showcasing their skills and creativity in real-world scenarios. Discover how our students apply their knowledge through innovative and hands-on experiences.

Personalized_Data_Analytics_Course_Guidance

One-To-One Data Analytics Course Guidance

Our 1-to-1 guidance for the Data Analytics course offers a highly personalized learning experience with a 100% placement guarantee. Tailored to your individual needs, this course provides expert instruction on data cleaning, visualization, and statistical analysis. Benefit from hands-on projects that apply real-world data to solve practical problems. Our mentors offer targeted feedback and support, while our dedicated placement team helps you navigate job applications, optimize your resume, and prepare for interviews. With this comprehensive approach, you’ll develop the skills and confidence needed to excel in data analytics and secure a position in the competitive job market.

Customized Curriculum: Learning plan designed to align with your experience level and career goals. Direct access to seasoned data analysts for personalized guidance.

  • Personalized Curriculum
  • Expert Mentorship
  • Practical Projects
  • Skill Development
  • Portfolio Creation
  • Placement Support
Sandip_Gadekar_Founder_and_Director

Sandip Gadekar

Founder and Director

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