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2023 Data Analysis & Visualization in python Masterclass

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Jobshie Academy

12:47:11

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  • 1. Introduction.mp4
    03:24
  • 2.1 EXCEL.rar
  • 2.2 looker.rar
  • 2.3 oops.rar
  • 2.4 Pandas Resources.rar
  • 2.5 Pandas Resources.rar
  • 2.6 seaborn.rar
  • 2. Resources.html
  • 3. Hello.mp4
    00:53
  • 4. Congratulations.mp4
    02:52
  • 1. Installation - Python.mp4
    03:57
  • 2. Installation - VS Code.mp4
    01:39
  • 3. Setup and Hello World.mp4
    08:02
  • 4. Drawing a Shape.mp4
    02:33
  • 5. DataTypes.mp4
    04:24
  • 6. Variables.mp4
    07:28
  • 7. Strings.mp4
    20:34
  • 8. Numbers.mp4
    12:57
  • 9. Taking an input.mp4
    03:31
  • 10. Lists.mp4
    06:04
  • 11. List_functions.mp4
    09:27
  • 12. Tuples.mp4
    03:52
  • 13. Functions.mp4
    08:48
  • 14. Return Statement.mp4
    05:18
  • 15. Operators.mp4
    02:23
  • 16. If Statement.mp4
    12:51
  • 17. If Statements & Comparisons.mp4
    03:44
  • 18. While Loop.mp4
    04:23
  • 19. For Loops.mp4
    08:05
  • 20. Exponent Function.mp4
    03:41
  • 21. 2D Lists & Nested Loops.mp4
    04:01
  • 22. Comments.mp4
    01:38
  • 23. Try & Except.mp4
    03:45
  • 24. Reading Files.mp4
    03:54
  • 25. Writing Files.mp4
    03:04
  • 1. What is OOPS.mp4
    03:00
  • 2. OOPS - Introduction.mp4
    10:37
  • 3. Encapsulation.mp4
    07:34
  • 4. Abstraction.mp4
    06:05
  • 5. Inheritance.mp4
    05:27
  • 6. Polymorphism.mp4
    06:11
  • 1. MicroSoft Excel.mp4
    01:19
  • 2. Customization.mp4
    08:26
  • 3. Shortcuts.mp4
    02:18
  • 4. Mathematics Operations.mp4
    09:39
  • 5. Data Validation.mp4
    03:59
  • 6. Filters.mp4
    04:46
  • 7. Shorting.mp4
    01:54
  • 8. Grouping.mp4
    04:49
  • 9. Functions.mp4
    04:33
  • 10. Minimum and Maximum Values.mp4
    01:23
  • 11. Average.mp4
    02:09
  • 12. Count.mp4
    00:59
  • 13. Is Numeric Function.mp4
    01:24
  • 14. RAND Function.mp4
    02:41
  • 15. Round Function.mp4
    00:53
  • 16. Median.mp4
    00:51
  • 17. Power.mp4
    00:38
  • 18. Left Right and Mid Function.mp4
    02:35
  • 19. Find Function.mp4
    03:30
  • 20. Date Function.mp4
    02:23
  • 21. IF Condition.mp4
    02:24
  • 22. IF ERROR Condition.mp4
    02:10
  • 23. Nested IF Condition.mp4
    02:38
  • 24. AND.mp4
    02:16
  • 25. OR.mp4
    01:32
  • 26. VLOOKUP.mp4
    03:02
  • 27. Pivot Table.mp4
    05:02
  • 28. Index and Match Function.mp4
    04:50
  • 29. SUM IF Formula.mp4
    01:26
  • 30. Sum Offset Formula.mp4
    07:09
  • 31. IF AND CONDITION.mp4
    03:01
  • 32. CONCATINATE.mp4
    02:30
  • 33. PMT FORMULA.mp4
    02:54
  • 34. TRIM FUNCTION.mp4
    02:07
  • 35. CHOOSE FUNCTION.mp4
    01:59
  • 36. XNPV Function.mp4
    04:02
  • 37. XIRR Function.mp4
    01:48
  • 38. COUNTA().mp4
    02:25
  • 39. FV Function.mp4
    03:12
  • 40. RANDBETWEEN.mp4
    01:55
  • 41. SMALL FUNCTION.mp4
    01:48
  • 42. QUARITILE FUNCTION.mp4
    01:59
  • 43. MACROS.mp4
    04:33
  • 44. Pie Chart.mp4
    01:38
  • 45. Column Chart.mp4
    00:36
  • 46. Line Chart.mp4
    00:51
  • 47. Other Charts.mp4
    00:39
  • 1. Data Description.mp4
    04:12
  • 2. Importing the data.mp4
    15:29
  • 1. Series.mp4
    03:42
  • 2. Creating a DataFrame.mp4
    07:43
  • 3. Homework.mp4
    00:31
  • 1. Data Cleaning.mp4
    03:02
  • 1. Mean Median Mode.mp4
    02:11
  • 2. Empty cells.mp4
    08:33
  • 1. Wrong Data.mp4
    12:51
  • 1. Wrong Datatype.mp4
    06:10
  • 1. Duplicates.mp4
    05:30
  • 2. Correlation Introduction.mp4
    01:53
  • 1. Correlation.mp4
    02:01
  • 1. Looker Introduction.mp4
    01:46
  • 2. Key Features.mp4
    08:22
  • 3. Sign Up.mp4
    01:48
  • 4. Import Data.mp4
    10:09
  • 5. Interface.mp4
    09:45
  • 6. Templates.mp4
    03:39
  • 7. Data Description.mp4
    05:52
  • 8. Text.mp4
    07:38
  • 9. Image.mp4
    03:07
  • 10. Line and Arrows.mp4
    03:44
  • 11. Shapes.mp4
    01:53
  • 12. Table.mp4
    21:42
  • 13. Scorecard.mp4
    08:20
  • 14. Timeseries.mp4
    20:28
  • 15. Bar Chart.mp4
    10:00
  • 16. Pie Chart.mp4
    08:46
  • 17. Google Map Charts.mp4
    10:55
  • 18. Google Map Chart Heatmap.mp4
    04:03
  • 19. Line Chart.mp4
    14:11
  • 20. Line Chart 2.mp4
    06:00
  • 21. Area Charts.mp4
    09:49
  • 22. Scatter Plots.mp4
    07:04
  • 23. Pivot Table.mp4
    11:55
  • 24. Bullet Charts.mp4
    03:41
  • 25. Tree Maps.mp4
    03:51
  • 26. Gauge Plot.mp4
    04:31
  • 27. Controls.mp4
    09:41
  • 28. Themes and Layouts.mp4
    05:07
  • 29. Filter.mp4
    01:14
  • 30. Blending Data.mp4
    05:24
  • 31. New Field and Formulas.mp4
    04:13
  • 32. Share.mp4
    03:55
  • 1. Review.mp4
    00:25
  • 1.1 seaborn.zip
  • 1. Resources.html
  • 2. Importing the data.mp4
    06:29
  • 1. DISPLOT.mp4
    07:08
  • 2. Uses of Distribution Plot.mp4
    02:25
  • 1. KDE Introduction.mp4
    07:45
  • 2. KDE Plot Part 1.mp4
    07:03
  • 3. KDE Plot Part 2.mp4
    15:04
  • 1. Scatter Plot.mp4
    11:40
  • 1. Rug Plot.mp4
    03:45
  • 1. Joint Plot.mp4
    07:55
  • 1. Pair Plot.mp4
    05:55
  • 1. Bar Plot.mp4
    12:04
  • 1. Count Plot.mp4
    02:00
  • 1. Box Plot.mp4
    06:33
  • 1. Violin Plot.mp4
    04:50
  • 1. Strip Plot.mp4
    04:16
  • 1. Swarm Plot.mp4
    03:37
  • 1. Heat Map.mp4
    09:25
  • 1. Pair Grid.mp4
    08:45
  • 1. Sub Plots.mp4
    05:16
  • 1. Certificate.mp4
    00:49
  • Description


    Build your Data Analysis and Visualization skills with Python, Excel and Looker | Bring your data to LIFE

    What You'll Learn?


    • Build powerful, practical skills for modern analytics and business intelligence
    • Be able to use Python for data science and machine learning
    • You will be able to use Python for your own work problems or personal projects.
    • Learn to use Object Oriented Programming with classes!
    • Master Microsoft Excel from Beginner to Advanced
    • Build a solid understanding on the Basics of Microsoft Excel
    • Maintain large sets of Excel data in a list or table
    • All the Chart Types in Looker like Bar, Time Series, Geo Maps, Scatter Plots etc and how to configure each of them
    • Learn how to use Looker to create Interactive and Beautiful Dashboards
    • Learn everything there is to know about pandas - from absolute scratch!
    • Create beautiful visualizations with Seaborn

    Who is this for?


  • Data Scientists, Data Analysts.
  • Students and professionals who wants to do data analysis using python.
  • Students and professionals who have tried machine learning and data science but are having trouble putting the ideas down in code
  • Python developer who wants to do analysis of tabular data.
  • Who Is curious about how to build effective and impactful graphsnts to start their data visualization journey
  • Anyone who want to express thoughts, findings, insights from any kind of data using data Visualization.
  • More details


    Description

    ***** Enrol now in the most comprehensive and up-to-date (Nov 2022) course available for the Data Analysis & Visualization in python Concepts! *****



    About the Instructor.

    This course is led by Aditya Dhandi - an international trainer, consultant, and data analyst with over 100 000 enrollments on Udemy. Aditya specializes in teaching data analysis techniques, Excel Pivot Tables, Power Pivot, Microsoft Power BI, & Google Data Studio & his courses average 4+ stars out of 5.


    He's also the founder of the popular website, Jobshie.



    Why Learn Data Analysis & Visualization?

    Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making.

    Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains.


    This course is a complete package for everyone wanting to pursue a career in data analysis.

    This course gives you complete knowledge from basics to advanced level on Excel, Python, and SQL.

    You will learn to create interactive dashboards using Excel as well as Looker.




    Key Features:


    Video Lectures: Learn the best ways to learn Data Analysis & Visualization

    Course Certificate: Complete the course and show off your skills with the course certificate.

    Learn from experts: Your expert instructor will teach you Data Analysis & Visualization skills you can apply immediately.

    Full Excess: There is no time limit, so take the course at your own pace and retake lessons as you need.

    Use any Device: Join the course using any modern browser on your phone, tablet and computer.

    Ask Question: Ask questions and share ideas with other students in the course community.



    What's included?

    • High quality video lessons to build your knowledge and skills.

    • Guided walk-throughs with techniques and tips.

    • 14 pre-built dashboards you can use and customize.

    • Practical exercises to apply your skills.

    • Quizzes to reinforce learnings and test your knowledge.

    • Private discussion area where you can ask questions.

    • Course certificate for completing the lessons and assignment.

    • Full access lets you review lessons whenever you need.

    • Updates when lessons in the course are refreshed.


    Jobshie Academy Reviews

    300+ learner reviews | 4+ average rating

    We help learners across the globe develop new skills and achieve their personal and professional goals. Browse learner reviews below to discover how people enjoy the online learning experience at Jobshie Academy.


    "I have gained useful skills while learning this course. I can consider myself a data analysis specialist. Thank you"

    by Joseph Israel


    "I was a nice experience about this course as it introduces with many topics which are related to data analysis ."

    by Sreeraj Mopkar


    "very good explaination , bohot achhe se sab samajh aata hai ...100% Understanding all concept very much....excellent explanation"

    by Moosa Khan


    "The course is very instructive and didactic, I liked it, it is all the information I need for my activities"

    by Jaime Ronald Palma Aguilar


    "yeah it was such a great course, the teacher took time out to disect all angles of Excel, he touched all the essential parts, needed for our daily use of excel. Thanks a lot"

    by Unyime Joshua


    "The instructor is very knowledgeable and teach in a very engaging way. I totally recommend this course.????"

    by Aditya



    FAQs

    When does the Data Analysis & Visualization course start and finish?

    The course starts as soon as you join! It is a completely self-paced online course, so you decide when you start and when you finish.

    How long does it take to complete the course?

    We recommend taking the course over two to three weeks, so you have time to apply the lessons to your account (or your client’s account). That being said we've seen people complete the course in a week and others that spread the lessons over a couple of months.

    How long do I have access to the Data Analysis & Visualization course?

    You receive full access to the course so that you can take the lessons at any time. You can rewatch lessons whenever you like and any lesson updates are included.

    Will I receive a certificate?

    Yes, once you complete all of the lessons, exercises, quizzes, and course assignment, you'll receive your course certificate.



    What are you waiting for?

    There’s never been a better time to add a skill like programming to your toolbox and Data Analysis & Visualization to get started. So check out the free preview and get enrolled! You've got nothing to lose and everything to gain!



    Who this course is for:

    • Data Scientists, Data Analysts.
    • Students and professionals who wants to do data analysis using python.
    • Students and professionals who have tried machine learning and data science but are having trouble putting the ideas down in code
    • Python developer who wants to do analysis of tabular data.
    • Who Is curious about how to build effective and impactful graphsnts to start their data visualization journey
    • Anyone who want to express thoughts, findings, insights from any kind of data using data Visualization.

    User Reviews
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    Jobshie Academy
    Jobshie Academy
    Instructor's Courses
    I have working experience of Data Analysis of more than three years. I create videos on SQL, Big query, Data Science, Data Analysis, Python, Machine Learning, Deep Learning. There are more than 70000 Enrollments in my courses. My most popular course is: Data Analysis for Entry Level Job - Zero to Hero Skill Path
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 147
    • duration 12:47:11
    • Release Date 2023/02/06