Python for Data Analysis with Practical Projects

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Free Download Python for Data Analysis with Practical Projects
Published 6/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 6h 47m | Size: 3.27 GB
Learn Data Analysis with Projects in Python using Seaborn,Pandas,Plotly, Numpy and become expert Data Analyst

What you'll learn
Data Handling: Master data cleaning, manipulation, and transformation techniques.
Visualization: Create insightful visualizations to communicate data-driven insights effectively
Statistical Analysis: Perform basic statistical analysis and draw meaningful conclusions from data
Project Portfolio: Build a portfolio of projects showcasing your skills to potential employers or for personal growth.
Requirements
No Pre-requisites
Description
Unlock the power of Python for data analysis through practical projects tailored for beginners. Whether you're looking to enter the world of data science or enhance your analytical skills, this course is designed to equip you with essential Python tools and techniques.Course Overview:Learn by Doing: Dive straight into hands-on projects that simulate real-world data scenarios. From data cleaning and manipulation to visualization and statistical analysis, every project builds your skills incrementally.Comprehensive Guidance: Benefit from clear, step-by-step instructions and explanations. Our expert instructors ensure you understand the concepts behind each technique, empowering you to apply them confidently.Practical Skills: Gain proficiency in popular Python libraries such as Pandas, NumPy, and Matplotlib. By the end of the course, you'll be proficient in handling and analyzing data efficiently.Why Choose this Course?Beginner-Friendly: No prior coding experience required. We start with the basics and gradually introduce more advanced topics, making learning accessible for everyone.Career-Ready: Equip yourself with skills sought after in today's data-driven world. Whether you're a student, professional, or career changer, this course enhances your employability.Supportive Community: Join a vibrant community of learners. Get support from the instructor, share insights, and collaborate on projects to reinforce your learning.Whether you're driven by curiosity or career ambitions, Python for Data Analysis with Projects for Beginners is your gateway to mastering data analysis with Python. Enroll now and embark on a transformative learning experience that opens doors to new opportunities in data science and beyond.
Who this course is for
Beginners in Data Analysis: If you're new to data analysis and want to learn how to use Python for handling and analyzing data, this course provides a solid foundation.
Students: Whether you're studying data science, statistics, or a related field, mastering Python for data analysis will complement your academic journey.
Professionals: If you're looking to upskill or transition into a data-focused role, this course equips you with practical skills that are in demand across industries.
Career Changers: If you're considering a career shift into data analysis or data science, this course offers a structured pathway to build essential skills and create a portfolio of projects.
Anyone Interested in Data: If you're curious about how data drives decisions and want to learn how to extract insights from data using Python, this course provides a beginner-friendly introduction.
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Download Free Download : Python for Data Analysis with Practical Projects
mp4 | Video: h264,1280X720 | Audio: AAC, 44.1 KHz
Genre:eLearning | Language: English | Size:3.27 GB
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Files Included :

Spoiler

1 Overview.mp4 (67.83 MB)
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2 Installation of Anaconda Navigator.mp4 (14.31 MB)
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1 Collect Data for Analysis.mp4 (60.98 MB)
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10 Perform In-Depth Analysis of Uber Base Number.mp4 (87.84 MB)
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2 Data preparation.mp4 (56.66 MB)
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3 Analysing Trips of Uber.mp4 (62.33 MB)
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4 Analysing Monthly rides.mp4 (75.47 MB)
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5 Analysing demand of Ubers.mp4 (60.54 MB)
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6 Performing Cross Analysis.mp4 (95.61 MB)
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7 Perform Spatial Analysis on Demand of Uber.mp4 (159.35 MB)
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8 Analysing Uber Pickups in Each month.mp4 (88.71 MB)
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9 Analysing Rush in New York City.mp4 (56.4 MB)
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1 Preparing Data for Analysis.mp4 (60.31 MB)
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2 Perform Spatial Analysis on Guests Home-Town.mp4 (87.45 MB)
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3 Hotel price variation during the year.mp4 (106.06 MB)
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4 Analysing preference of Guests.mp4 (50.74 MB)
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5 Analysing Brelationship between Special requests and cancellation.mp4 (52.03 MB)
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6 Analysing most busy month.mp4 (73.76 MB)
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7 Analysing more about Customers.mp4 (94.63 MB)
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8 Analysing more about Data.mp4 (59.37 MB)
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1 Reading Data from SQLite Database.mp4 (81 MB)
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2 Perform Sentment Analysis on Data.mp4 (163.22 MB)
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3 How Amazon recommend product.mp4 (134.25 MB)
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4 Analysing Feedback given by Customers.mp4 (61.59 MB)
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5 Preparing Data for Analysis.mp4 (140.22 MB)
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6 Analysing Behaviour of Customers.mp4 (104.73 MB)
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1 Prepare your Data for the Analysis.mp4 (57.03 MB)
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2 Analysing Total cases, Deaths, Recovered & active cases.mp4 (99.62 MB)
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3 Perform EDA on Data.mp4 (86.04 MB)
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4 Analysing those countries that gets badly affected by Corona.mp4 (112.45 MB)
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5 Perform In-depth Analysis on Data.mp4 (142.68 MB)
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6 Automate Your Analysis.mp4 (116.01 MB)
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1 Perform descriptive Analysis on Data.mp4 (74.67 MB)
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2 Understanding Data Pre-processing.mp4 (98.82 MB)
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3 Analysing Education Satus of Costumers.mp4 (79.23 MB)
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4 Analysing Account holder distribution.mp4 (59.08 MB)
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5 Automate your Analysis.mp4 (107.5 MB)
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6 Analyse Customer Behaviour on the basis of several attributes.mp4 (36.38 MB)
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7 Perform Hypothesis on Data.mp4 (127.78 MB)
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