Ever dreamt of turning raw data into powerful insights but felt intimidated by complex tools and techniques? Our Data Analytics Course with Placement is designed to empower you! This comprehensive program equips you with the skills to analyze, interpret, and visualize data, transforming numbers into meaningful stories that drive business decisions. Learn to navigate industry-leading tools, master data visualization techniques, and unlock the potential of data to fuel success across any industry.
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Our Data Analytics Course in Ghaziabad offers a comprehensive curriculum designed to equip you with in-demand skills. From Data Analytics for Beginners to advanced techniques, you'll dive into key tools like Python, SQL, and Power BI. The course covers essential topics such as data cleaning, statistical analysis, and data visualization, ensuring a solid foundation.
For those looking to advance, our Advanced Data Analytics Course explores predictive modeling, machine learning, and big data analytics. With hands-on projects and real-world case studies, this Data Analytics Certification prepares you for top roles. Plus, the Data Analytics Course with Placement guarantees you’re job-ready from day one!
Fundamentals of Data Analysis
Data Cleaning and Preparation
Exploratory Data Analysis (EDA)
Statistical Analysis
Data Visualization
Data Manipulation
Reporting and Communication
Industry Best Practices
Practical Projects and Case Studies
Introduction to Data Analytics: Understanding data analytics, Overview of Python as a tool for analytics
Introduction to Python: Syntax, data types, operators
Control flow: Conditionals, loops, functions
Python libraries for analytics: NumPy, Pandas, Matplotlib
Introduction to NumPy: Purpose of NumPy and its role in numerical computing, Installation and importing NumPy
Basics of NumPy Arrays: Creating 1D, 2D, and multi-dimensional arrays, Array initialization: np.zeros(), np.ones(), np.random()
Array Operations: Element-wise operations and scalar operations, Array broadcasting and mathematical functions.
• Indexing, Slicing, and Iterating: Indexing and slicing arrays, Iterating over arrays
Introduction to Pandas: Purpose and key features of Pandas for data manipulation, Installation and importing Pandas
Series and DataFrames: Creating Series and DataFrames, Importing and exporting data using Pandas
Data Manipulation: Indexing and selecting data, Filtering, sorting, and grouping data, Handling missing data.
Merging and Concatenation: Merging DataFrames using merge() and join(), Concatenating and appending data
Basic Computer Skills
Mathematics and Statistics
Programming Skills
Analytical Mindset
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