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This comprehensive Data Science course equips you with the skills to master essential tools and techniques for data analysis, machine learning, and data visualization. Through hands-on projects and expert instruction, you’ll learn to work with programming languages like Python and R, utilize powerful libraries like Pandas, NumPy, Scikit-learn, and TensorFlow, and build predictive models for real-world applications. The course covers fundamental concepts of data manipulation, statistical analysis, machine learning algorithms (including supervised and unsupervised learning), and data visualization techniques. You’ll gain practical experience in data cleaning, feature engineering, model selection, and performance evaluation. This course prepares you for a career in data science by providing you with the in-demand skills to extract insights from data, solve complex problems, and drive data-driven decision-making.

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This Data Science course will teach you how to use industry-standard tools and techniques like Python, R, SQL, and Machine Learning algorithms to collect, analyze, and visualize data, building predictive models and extracting valuable insights.

OUR Courses in data science

Python

This course provides in-depth training on Python, a leading programming language essential for data science. You’ll learn the fundamentals of Python syntax, data structures, and control flow, and then delve into key libraries like NumPy, Pandas, and Scikit-learn. Through hands-on projects and real-world examples, you’ll master techniques for data manipulation, analysis, visualization, and building machine learning models.

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Power BI

This course provides in-depth training on Power BI, a leading business intelligence and data visualization tool. You’ll learn how to connect to various data sources, transform and model data using Power Query, and create interactive dashboards and reports. Through hands-on projects and real-world examples, you’ll master techniques for data cleaning, shaping, and aggregation, as well as designing compelling visualizations that communicate key insights effectively. 

 

SQL

This course provides in-depth training on SQL (Structured Query Language), the standard language for interacting with relational databases. You’ll learn the fundamentals of SQL syntax, including how to create, modify, and query tables. Through hands-on projects and real-world examples, you’ll master techniques for retrieving data using SELECT statements, filtering and sorting results, joining tables, and aggregating data with functions like COUNT, SUM, and AVG.

Numpy & Pandas

This course provides in-depth training on NumPy and Pandas, two essential Python libraries for data science. You’ll learn how to use NumPy to create and manipulate powerful N-dimensional arrays, enabling efficient numerical computations and data manipulation. Through hands-on projects and real-world examples, you’ll master techniques for array indexing, slicing, broadcasting, and mathematical operations. The course then transitions to Pandas, where you’ll learn to work with DataFrames, the core data structure for tabular data. You’ll explore how to import, clean, transform, and analyze data using Pandas, including techniques for handling missing values, filtering, sorting, grouping, and aggregating data.

What we offer in our Course

“Our team of experienced and passionate instructors brings a wealth of knowledge and real-world expertise to the classroom. They are dedicated to helping you succeed.”

  • Learn from Industry Professionals with Years of Experience.
  • Industry relevant Curriculum and Expert Mentors
  • Upgrade your Skills and Boost your Career Today
  • Realtime Hands On Training
  • 100 % Placement Support - Interview Preparation and Career Counseling .

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