Description

Are you eager to embark on a rewarding journey into the world of data analytics? Welcome to the Data Analytics Career Track, where you'll gain a comprehensive skill set and invaluable knowledge to thrive as a data analyst.
Course Overview: Embark on a transformative 72-day journey into the world of data analytics, where you'll learn the essential skills and tools to become a successful data analyst. This comprehensive course is designed to take you from a beginner to a proficient data analyst, equipping you with the knowledge and practical experience needed to excel in the field.

Key Objectives:

• Proficiency in Essential Tools: The course curriculum is structured to cover three core pillars of data analysis: Excel, SQL, and Python. You'll start by mastering Excel, the industry-standard spreadsheet software, learning how to manipulate data, perform calculations, and create visualizations to communicate insights effectively.

• Hands-on Experience: Engage in practical data analysis projects and coding exercises, honing your problem-solving skills through immersive learning experiences. With a focus on hands-on learning, you'll work on real-world projects and case studies, applying your newfound skills to solve practical challenges faced by data analysts in various industries.

• Foundational Knowledge: Gain insights into data analysis theories, statistical methods, hypothesis testing, and machine learning fundamentals, laying a solid groundwork for your career. Learn A-Z data cleaning and manipulation techniques, including sorting, filtering, conditional formatting, and advanced analysis with pivot tables and charts. Acquire a deep understanding of relational database management systems (RDBMS), covering key concepts such as primary keys, foreign keys, and SQL manipulation.

• Excel Proficiency: You'll start by mastering Excel, the industry-standard spreadsheet software, learning how to manipulate data, perform calculations, and create visualizations to communicate insights effectively.

• SQL Proficiency: You'll dive into SQL, the language of databases, gaining proficiency in querying and manipulating data stored in relational databases. You'll learn how to extract relevant information using SQL commands, perform data joins and aggregations, and optimize queries for efficiency.

• Python Proficiency: you'll explore Python, a powerful programming language widely used for data analysis and visualization. You'll discover how to leverage Python libraries such as Pandas, NumPy, and Matplotlib to conduct advanced data analysis, automate tasks, and create interactive visualizations.

• ChatGPT Proficiency:  you'll use ChatGPT for data preparation, including dealing with missing data, outliers, and converting data types, complex data manipulation tasks, such as merging datasets, creating pivot tables, executing sophisticated data analysis, identifying trends, patterns, and making predictions using advanced machine learning models like the random forest regressor.

• Power BI Proficiency: You'll become proficient in Power BI, a leading business analytics tool that allows you to connect to various data sources, transform raw data into meaningful insights, and create interactive dashboards and reports. You'll learn how to utilize Power Query for data cleaning and transformation, design visually appealing and informative charts and dashboard.

• Practical Assignments: Challenge yourself with over 50 practical assignments, 140 coding exercises, and 10 quizzes spanning the breadth of the course curriculum.

• Capstone Projects: Apply your newfound skills to real-world scenarios with two comprehensive capstone projects focused on bank data analysis and sports data analysis, providing a holistic view of the data analytics workflow.

Benefits of the Course:

• Career Readiness: Prepare for a successful career as a data analyst with essential professional skills and practical knowledge.

• Versatility: Gain proficiency in multiple tools and techniques, making you adaptable to diverse data analysis scenarios and industry demands.

• Problem-solving Skills: Enhance your analytical and critical thinking abilities through hands-on data analysis exercises and coding challenges.

• Industry-Relevant Learning: Stay ahead of the curve with up-to-date insights into data analysis methodologies and best practices.

• Portfolio Enhancement: Build a robust portfolio showcasing your expertise through practical projects and assignments, demonstrating your readiness for the job market.

Join us on the Data Analytics Career Track and unlock endless possibilities in the world of data analysis. Whether you're looking to kickstart a career in data analytics or enhance your existing skills, this course will empower you to succeed in the dynamic world of data. Join us on this exciting journey and unlock your potential as a data analyst.