Data Analysis Career Track in Excel SQL and Python

What you’ll learn

• You will gain proficiency in Excel, SQL, and Python for data analysis. Prepare for a career as a data analyst with essential professional skills and knowledge.
• You will work on practical data analysis projects to apply learned skills. Enhance problem-solving abilities through hands-on data analysis exercises.
• You will learn facts and theories for data analysis, statistical analysis, hypothesis testing, and machine learning for foundations of data analytics.
• You will learn A-Z data cleaning and manipulation methods, sorting, sorting and conditional filtering, formulas, and functions, graphs and charts in Excel.
• You will learn advanced analysis in PIVOT tables and charts, Data Analysis ToolPak for statistical analysis and interactive dashboard in Excel.
• You will learn RDBMS fundamentals, covering key concepts such as primary and foreign keys, data types, and the various types of RDBMS and more.
• You will learn full stack manipulation of tables, columns, constraints, indices, null values, filtering, joining methods in MySQL or structured query language.
• You will learn the important Python programming basics such as variables naming, data types, lists, dictionaries, dataframes, sets, loops, functions etc.
• You will master a range of methods and techniques for data cleaning, sorting, filtering, data manipulation, transformation, and data preprocessing in Python.
• You will learn to use Python for data visualizations, exploratory data analysis, statistical analysis, hypothesis testing methods and machine learning models.
• You will pass 50+ practical assignments, 140+ coding exercises, 10 quizzes with 100+ questions, on all the topics over the entire career track.
• You will accomplish two capstone projects on Bank data analysis and Sport data analysis at the end to get the full view of data analysis workflow.

Requirements

• Access to computer and internet
• Basic computer literacy
• No coding experience required
• Dedication, patience and perseverance

Who this course is for:

• Those who are interested in entering the field of data analytics and want to learn the complete tools and techniques used in the industry.
• Those who are highly interested in learning complete data analytics using Excel, SQL and Python.
• This course is NOT for those who are interested to learn data science or advanced machine learning application.

Description

Are you eager to embark on a rewarding journey into the world of data analytics? Welcome to the Data Analysis Career Track, where you’ll gain a comprehensive skill set and invaluable knowledge to thrive as a data analyst.

Course Overview: In this meticulously crafted course, you’ll delve into the core tools and techniques of data analysis: Excel, SQL, and Python. From foundational concepts to advanced methodologies, each module is designed to equip you with the expertise needed to excel in the dynamic field of data analytics.

Key Objectives:

• Proficiency in Essential Tools: Master Excel, SQL, and Python for data analysis, providing you with a versatile toolkit for tackling real-world challenges.
• Hands-on Experience: Engage in practical data analysis projects and coding exercises, honing your problem-solving skills through immersive learning experiences.
• Foundational Knowledge: Gain insights into data analysis theories, statistical methods, hypothesis testing, and machine learning fundamentals, laying a solid groundwork for your career.
• Data Manipulation Mastery: Learn A-Z data cleaning and manipulation techniques, including sorting, filtering, conditional formatting, and advanced analysis with pivot tables and charts.
• Database Fundamentals: Acquire a deep understanding of relational database management systems (RDBMS), covering key concepts such as primary keys, foreign keys, and SQL manipulation.
• Python Proficiency: Explore Python programming basics and advanced data analysis techniques, including data visualization, exploratory data analysis, and machine learning model implementation.
• 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 a seasoned professional or a novice enthusiast, this course is your gateway to a fulfilling and prosperous career in data analytics. Enroll today and embark on your journey to success!