Complete Data Analyst Bootcamp From Basics To Advanced
What you'll learn
- Learn how to efficiently manipulate, analyze, and visualize data using Python and its powerful libraries such as Pandas, NumPy, Matplotlib, and Seaborn.
- Develop the skills to retrieve, manipulate, and aggregate data using SQL. You'll work with SQL Server to manage complex databases and execute advanced queries.
- Discover how to perform EDA to uncover insights, identify patterns, and prepare data for further analysis through effective data visualization
- Learn to build interactive and insightful dashboards using Power BI, applying DAX for complex calculations, and integrating real-world data to produce reports
Requirements
- A basic understanding of how to navigate your computer, including installing software and managing files, is essential.
- Some experience with spreadsheet software like Microsoft Excel or Google Sheets will be helpful, as it will give you a foundation for data manipulation and basic analysis concepts
- This course starts from the basics of Python, so no prior programming knowledge is necessary. However, a willingness to learn coding is important.
- An eagerness to explore data, solve problems, and develop new skills is key to getting the most out of this bootcamp.
Description
Are you ready to embark on a rewarding career as a Data Analyst? Whether you're a beginner or an experienced professional looking to enhance your skills, this Complete Data Analyst Bootcamp is your one-stop solution. This course is meticulously designed to equip you with all the essential tools and techniques needed to excel in the field of data analysis.
What You Will Learn:
Python Programming for Data Analysis
Dive into Python, the most popular programming language in data science. You'll learn the basics, including data types, control structures, and how to manipulate data with powerful libraries like Pandas and NumPy. By the end of this module, you'll be able to perform complex data manipulations and basic analyses with ease.Statistics for Data Science
Understanding the language of data requires a solid foundation in statistics. This course will take you through the key concepts such as descriptive statistics, probability, hypothesis testing, and inferential statistics. You'll gain the confidence to make data-driven decisions and interpret statistical results accurately.Feature Engineering and Data Preprocessing
Data preparation is critical for successful analysis. This module covers all aspects of feature engineering, from handling missing data and encoding categorical variables to feature scaling and selection. Learn how to transform raw data into meaningful features that improve model performance and analysis outcomes.Exploratory Data Analysis (EDA)
Before diving into data modeling, it's crucial to understand your data. EDA is the process of analyzing data sets to summarize their main characteristics, often with visual methods. You'll learn how to identify trends, patterns, and outliers using visualization tools like Matplotlib and Seaborn. This step is essential for uncovering insights and ensuring data quality.SQL for Data Analysts
SQL (Structured Query Language) is the backbone of database management and a must-have skill for any data analyst. This course will guide you from the basics of SQL to advanced querying techniques. You’ll learn how to retrieve, manipulate, and aggregate data efficiently using SQL Server, enabling you to work with large datasets and perform sophisticated data analysis.Power BI for Data Visualization and Reporting
Data visualization is key to communicating your findings effectively. In this module, you'll master Power BI, a leading business intelligence tool. You'll learn how to create compelling dashboards, perform data transformations, and use DAX (Data Analysis Expressions) for complex calculations. The course also includes real-world reporting projects, allowing you to apply your skills and create professional-grade reports.Real-World Capstone Projects
Put your knowledge to the test with hands-on capstone projects. You'll work on real-world datasets to perform end-to-end data analysis, from data cleaning and EDA to creating insightful visualizations and reports in Power BI. These projects are designed to simulate actual industry challenges, giving you practical experience that you can showcase in your portfolio.
Who Should Enroll:
Aspiring data analysts looking to build a comprehensive skill set from scratch.
Professionals seeking to switch careers into data analysis.
Data enthusiasts who want to gain hands-on experience with Python, SQL, and Power BI.
Students and recent graduates aiming to enhance their job prospects in the data science industry.
Why This Course?
Comprehensive Curriculum: Covers everything from Python programming and statistics to SQL and Power BI, making you job-ready.
Hands-On Learning: Work on real-world projects that mirror the challenges you'll face in the industry.
Industry-Relevant Tools: Learn the most in-demand tools and technologies, including Python, SQL Server, and Power BI.
Career Support: Gain access to valuable resources and guidance to help you kickstart or advance your career as a data analyst.
Conclusion:
By the end of this course, you'll have a strong foundation in data analysis and the confidence to tackle real-world data problems. You'll be ready to step into a data analyst role with a robust portfolio of projects to showcase your skills.
Enroll now and start your journey to becoming a proficient Data Analyst!
Who this course is for:
- Individuals looking to start a career in data analysis and gain a comprehensive skill set from the ground up.
- Professionals from other fields who want to transition into data analysis and need a structured, all-inclusive learning path.
- Those pursuing degrees in fields like computer science, statistics, business, or related areas who want to enhance their job prospects with practical, industry-relevant skills.
- Anyone with an interest in data, who wants to learn how to analyze, visualize, and make data-driven decisions, whether for professional development or personal projects.
- Individuals already in the data industry or related fields who wish to sharpen their skills, learn new tools like Python, SQL, and Power BI, and take on more advanced data analysis tasks.
Instructors
- 4.5 Instructor Rating
- 60,633 Reviews
- 295,865 Students
- 12 Courses
I am the Ex Co-founder and Chief AI Engineer of iNeuron and my experience is pioneering in machine learning, deep learning, and computer vision,Generative AI,an educator, and a mentor, with over 15 years' experience in the industry. These are my Udemy Courses where I explain various topics on machine learning, deep learning, and AI with many real-world problem scenarios. I have delivered over 30+ tech talks on data science, machine learning, and AI at various meet-ups, technical institutions, and community-arranged forums. My main aim is to make everyone familiar of ML and AI.
- 4.5 Instructor Rating
- 11,031 Reviews
- 59,513 Students
- 1 Course
Hello! I'm Jayant, a Microsoft Certified Associate Data Analyst with over 4 years of experience in the data industry. Throughout my career, I've had the privilege of working on a diverse range of projects across various domains, helping organizations unlock the full potential of their data.
My expertise lies in data visualization, data modeling, and data analysis, with a strong proficiency in tools like Power BI, SQL, and Excel. I am passionate about transforming complex data sets into actionable insights and empowering others to make data-driven decisions.
Whether you're looking to enhance your data analytics skills, master Power BI, or gain practical knowledge in data analysis, my courses are designed to provide you with the hands-on experience and practical knowledge you need to succeed in the data industry. Join me on Udemy, and let's embark on this data-driven journey together!
- 4.5 Instructor Rating
- 62,032 Reviews
- 302,014 Students
- 17 Courses
Krish AI Technologies is at the forefront of education in the fields of Data Science, Machine Learning, Generative AI, Deep Learning, and related technologies. Founded by industry veteran Krish Naik, who has over 13 years of experience in the data analytics industry and more than 7 years of teaching expertise, our mission is to equip learners with the skills and knowledge required to excel in the rapidly evolving tech landscape.
Our Expertise: At Krish AI Technologies, we specialize in a comprehensive range of subjects within the realm of artificial intelligence and data science, including:
Data Science: From foundational concepts to advanced techniques, we cover all aspects of data analysis, statistical modeling, and data visualization.
Machine Learning: Our curriculum spans the full spectrum of machine learning algorithms, including supervised and unsupervised learning, clustering techniques, and advanced predictive modeling.
Generative AI: We provide in-depth training on the latest generative AI models and techniques, helping students understand and implement cutting-edge technologies.
Deep Learning: Our courses delve into the mathematical intuition and practical applications of deep learning, covering neural networks, CNNs, RNNs, and more.
Natural Language Processing (NLP): We offer comprehensive training in NLP, including text preprocessing, sentiment analysis, language modeling, and various NLP projects.