Complete Data Analyst Bootcamp From Basics To Advanced
Complete Data Analyst Bootcamp From Basics To Advanced
Master Data Analysis: Python, Statistics, EDA, Feature Engineering, Power BI, and SQL Server in Comprehensive Bootcamp
Product Brand: Udemy
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Udemy Coupon Code for Complete Data Analyst Bootcamp From Basics To Advanced Course. Master Data Analysis: Python, Statistics, EDA, Feature Engineering, Power BI, and SQL Server in Comprehensive Bootcamp
Created by Krish Naik, Jayant Topnani, KRISHAI Technologies Private Limited | 63 hours on-demand video | 296 downloadable resources
Data Analyst Course Overview
Complete Data Analyst Bootcamp From Basics To Advanced
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.
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!
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
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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.
