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Data_Analytics_Course_Overview


COURSE INSTRUCTOR

Teacher_Image

Sandip Gadekar

Data Analytics
★★★★★ (4.9)

Sandip boasts over 5 years of experience in data analytics, specializing in key technologies such as Python, R, SQL, Machine Learning, Deep Learning, and Data Visualization. With a robust foundation in data analysis and predictive modeling, Sandip excels at extracting actionable insights from complex datasets. Their expertise includes building predictive models, applying statistical techniques, and solving real-world data problems. As a passionate educator, Sandip emphasizes hands-on learning and real-world projects, ensuring students acquire practical skills and industry-relevant knowledge in data analytics.

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 analytics with our comprehensive Data Analytics 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 analytics techniques and tools, covering 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 completed an internship, making you job-ready and confident in your ability to tackle any data analytics challenge.

Course Syllabus

Module 1: Introduction to Data Analytics

Get started with the basics of data analytics, including Python, R, and SQL. Learn how to collect, clean, and analyze data, and understand the core concepts of data analytics.
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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