Data Analytics Career Path: 60 Days of Data Analyst Bootcamp
Loại khoá học: Business Analytics & Intelligence
Learn the Best Use of Excel, SQL, and Python for A-Z Data Analysis and Become a Successful Data Analyst in 60 Days.
Mô tả
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 60-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.
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 in just 60 days!
Bạn sẽ học được gì
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.
Yêu cầu
- Access to computer and internet
- Basic computer literacy
- No coding experience required
- Dedication, patience and perseverance
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