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Master Data Science with Python | Bootcamp for High-Demand Jobs
SDE Arts | Octavo

90% off Data Science: Double Discount! £28.95 (was £29.95, down from £299.99). Limited time. instructor help

Summary

Price
£29.95 inc VAT
Study method
Online, On Demand
Duration
6.3 hours · Self-paced
Qualification
No formal qualification
Certificates
  • Reed courses certificate of completion - Free
Additional info
  • Tutor is available to students
2,366 students purchased this course

Add to basket or enquire

Overview

Launch your career into high gear with the comprehensive "Master Data Science with Python | Bootcamp for High-Demand Jobs"! This intensive bootcamp is your one-stop shop for mastering Python programming and its most powerful data science libraries, equipping you with the skills to extract insights, make informed decisions, and thrive in today's data-driven world.

No prior coding experience? No problem! We'll guide you through Python fundamentals, building a strong foundation before diving into data science essentials. You'll conquer:

  • Python Programming: Master syntax, data types, control flow, functions, and object-oriented programming, laying the groundwork for powerful data analysis.
  • Data Handling with Python Libraries: Leverage NumPy for efficient scientific computing, Pandas for data wrangling and analysis, and Matplotlib & Seaborn for stunning data visualizations.
  • Data Acquisition & Analysis: Learn how to extract and analyze data from various sources, cleaning, preparing, and manipulating it for actionable insights.
  • Build Python Data Science Solutions: Put your skills to the test by building real-world Python projects, solidifying your understanding and showcasing your expertise.

But that's not all! This bootcamp goes beyond technical mastery, providing:

  • Expert Instructor Support: Get your questions answered and challenges addressed by our knowledgeable instructors, ensuring your success every step of the way.
  • Proven Curriculum: Learn from a course meticulously crafted with clear explanations, practical examples, and hands-on exercises, maximizing your learning outcomes.
  • Thriving Community: Connect with fellow data science enthusiasts, share experiences, and build a valuable network for your future career.

Don't just take our word for it! See what previous students have to say:

  • "This course is a game-changer! I went from Python newbie to data analysis pro thanks to its comprehensive curriculum and fantastic instructors." - John S., Data Analyst
  • "Clear, concise, and engaging! This bootcamp gave me the skills and confidence to pursue my dream career in data science." - Sarah M., Data Scientist
  • "Enrolled to refresh my Python skills and ended up learning so much more! The data science modules are top-notch, with practical examples that really stick." - David L., Software Engineer

Ready to unlock your data science potential and conquer 2024? Enroll in the "Data Science Mastery: Conquer 2024 with Python Bootcamp" today!

Certificates

Reed courses certificate of completion

Digital certificate - Included

Will be downloadable when all lectures have been completed

Curriculum

12
sections
80
lectures
6h 19m
total

    • 1: Welcome 01:40
    • 2: Download and Install the tools 01:21
    • 3: Jupyter Overview + Markdown in Jupyter tutorial 06:47
    • 4: Using Jupyter Notebook to code with Python 05:41
    • 5: Using Anaconda Prompt 03:15
    • 6: Quiz 1 01:00

    • 7: Variables and Types Tutorial 10:38
    • 8: Describe what's inside the code 04:44
    • 9: Define Blocks and Avoid IndentationError 04:19
    • 10: String full tutorial 13:44
    • 11: Numbers, Math and f-string tutorial 15:13
    • 12: Handling inputs and outputs 04:29
    • 13: Quiz 2 02:00

    • 14: Structure Data using Lists 21:02
    • 15: Structure data using Tuples 10:32
    • 16: Structure Data using Dictionaries 08:05
    • 17: Structure Data using Sets 07:21
    • 18: Quiz 3 02:00

    • 19: Comparing Values 08:36
    • 20: Output from Logics 06:49
    • 21: Conditional Statements 08:55
    • 22: The while loop 02:56
    • 23: The for loop in Python 07:18
    • 24: Python Library Functions 11:21
    • 25: The Lambda Power 08:51
    • 26: User-Defined Functions 07:30
    • 27: Break statement 04:05
    • 28: Continue statement 04:35
    • 29: For else statement 02:15
    • 30: App to Put all together 01:43
    • 31: Quiz 4 01:00

    • 32: Core Python OOP 12:02
    • 33: Exploring Inheritance 10:10
    • 34: Quiz 5 01:00

    • 35: Comprehensions 05:52
    • 36: Constructed modules and random 06:37
    • 37: Doing mathematics 04:47
    • 38: Doing statistics 04:17
    • 39: Errors Exploration 04:28
    • 40: Exceptions Playground 06:45

    • 41: IO data in memory 07:11
    • 42: Interacting with operating system data 03:04
    • 43: Moving data files between directories 04:42
    • 44: Data will be in the trash bin 04:16
    • 45: Zipping and Unzipping Data 06:49

    • 46: NumPy Level 1 07:09
    • 47: NumPy Level 2 05:03
    • 48: NumPy Level 3 02:25
    • 49: NumPy Level 4 03:44
    • 50: NumPy Level 5 05:38
    • 51: NumPy level 6 03:50
    • 52: NumPy Level 7 03:46
    • 53: NumPy Level 8 03:19
    • 54: NumPy level 9 03:08

    • 55: Pandas data analysis level 1 03:49
    • 56: Pandas data analysis level 2 04:41
    • 57: Pandas data analysis level 3 02:18
    • 58: Pandas data analysis level 4 03:32
    • 59: Pandas data analysis level 5 02:52
    • 60: Pandas data analysis level 6 04:30

    • 61: Matplotlib data visualization level 1 02:57
    • 62: Matplotlib data visualization level 2 01:31
    • 63: Matplotlib data visualization level 3 03:06
    • 64: Matplotlib data visualization level 4 03:14
    • 65: Matplotlib data visualization level 5 01:37
    • 66: Matplotlib data visualization level 6 03:02
    • 67: Matplotlib data visualization level 7 02:32

    • 68: Seaborn statistical graphs level 1 03:41
    • 69: Seaborn statistical graphs level 2 01:56
    • 70: Seaborn statistical graphs level 3 01:17
    • 71: Seaborn statistical graphs level 4 01:39
    • 72: Seaborn statistical graphs level 5 02:31
    • 73: Seaborn statistical graphs level 6 02:30
    • 74: Seaborn statistical graphs level 7 01:49
    • 75: Seaborn statistical graphs level 8 01:00

    • 76: Python Programming 00:40
    • 77: NumPy 00:29
    • 78: Pandas 00:25
    • 79: Matplotlib 00:35
    • 80: Seaborn 00:28

Course media

Description

Master Python programming, conquer data science tools, and unlock powerful insights for informed decision-making.

In today's data-driven world, companies thrive on extracting meaning from information. This comprehensive course empowers you to do just that, equipping you with the in-demand skills of data analysis and visualization using Python, the go-to language for data science.

Whether you're a complete beginner or seeking to level up your expertise, this course caters to your needs.

Here's what awaits you:

  • Python from the ground up: Master the fundamentals, object-oriented programming, and advanced foundations to confidently navigate the Python landscape.
  • Data wrangling with ease: Dive into NumPy and Pandas, the cornerstones of data manipulation and analysis. Learn to clean, organize, and prepare data for meaningful insights.
  • Compelling visualizations: Craft stunning visuals with Matplotlib and Seaborn. Tell compelling stories with your data, captivating audiences and driving informed decisions.
  • Real-world application: Go beyond theory. Apply your newfound skills to practical scenarios across diverse fields like finance, healthcare, and marketing.

By the end of this course, you'll be able to:

  • Write efficient Python code for data analysis.
  • Clean, manipulate, and analyze data using powerful libraries.
  • Create impactful visualizations to communicate insights effectively.
  • Utilize data science techniques to solve real-world problems.

Your expert guide:

Ahmed Ibrahim, a seasoned software engineer and instructor with over 200,000 students under his belt, will personally guide you through the course. His passion for programming and practical approach ensure a rich learning experience that translates into tangible skills.

Don't miss out on this opportunity to:

  • Boost your employability with highly sought-after data science skills.
  • Gain a competitive edge in today's data-driven job market.
  • Make informed decisions based on data-driven insights.

Enroll now and embark on your journey to becoming a data analysis and visualization pro!

Who is this course for?

  • Python beginners and newbies
  • Data Scientist who knows other language tools
  • New Python Data Analysts
  • Data Science Beginners
  • New developers and Programmers
  • Programmers and developers who know other programming language but are new to python
  • Anyone who wants to use Python for data analysis and visualization in a short time!

Requirements

  • No Python prior experience is required to take this Training
  • Computer and Internet access

Career path

  • Python Data Scientist salaries currently range between $104,000 to $156,000
  • Python Developer Avg. salary: $107,003 / Annual
  • Software Engineer Avg. salary: $111,206 / Annual
  • Software Developer Avg. salary: $100,000 / Annual
  • Python Data Analyst Avg. salary: $115,156 per year

Questions and answers

No questions or answers found containing ''.

Juliet Ogbaji O. asked:

Can an Android phone be used in place of a Conputer fur this course?

Answer:

To follow this course without any obstacles you need a computer or laptop with any operating system, and the jupyter notebook installed. Best regards Ahmed Ibrahim

This was helpful. Thank you for your feedback.
ABY asked:

can i get placed in a company after this course

Answer:

This course will prepare you to be a Python Developer and also a data scientist with Python.

This was helpful. Thank you for your feedback.
Christopher asked:

After the course is completed is there a test/exam?

Answer:

In this Bootcamp, you'll get video training, resources and quizzes to test your knowledge. Once you complete 100% of the course, you'll get certificate of completing to boost your profile and career.

This was helpful. Thank you for your feedback.
Christopher asked:

Hello After purchasing the course, how long do I have to start/finish it? Thanks

Answer:

It's a self-paced course with lifetime access , means you can complete it in your own time and based on your own pace.

This was helpful. Thank you for your feedback.
Sunny asked:

How useful will this course be fore me as an Accountant and Internal Auditor.

Answer:

Hi Sunny, In this course you'll learn how to use Python for Data handling, Analytics and Visualization in a more general purpose programming environment by using Jupyter Notebook for Python rather than in Excel or any other spreadsheet app. Actually, Many companies are now transitioning from Excel and other spreadsheet apps to Python, because Python is considered a more efficient data analysis tool for complex calculations and large volumes of data. Best wishes, Ahmed

This was helpful. Thank you for your feedback.
Yinusa asked:

Please how can I purchase this course?

Answer:

- Click on the "Add to basket" button. - You can then review your basket and proceed to checkout. - At checkout, you will need to create an account or sign in to your existing account. - You will then need to enter your payment information. - Once you have entered your payment information, you can click on the "Place order" button to complete your purchase.

This was helpful. Thank you for your feedback.
asked:

Hi, Do I need background in other comp language(s) or a complete beginner with no IT background can take this course?

Answer:

No Requirements to take this course. You'll learn everything you need to know.

This was helpful. Thank you for your feedback.
Sai asked:

Does this course have lifetime access?

Answer:

Yes of course.

This was helpful. Thank you for your feedback.
Ola asked:

My nephew is interested in the course and is 15 years want to know is there a age restriction

Answer:

Anyone can take and understand this course without any complications.

This was helpful. Thank you for your feedback.
Norbert asked:

Hi I am very interested in this course but unfortunately my mathematics are not my strong points. Can you learn python withouth maths skills?

Answer:

Hi Norbert, No worries. You will learn in this course all what you need to know. Best wishes

This was helpful. Thank you for your feedback.
Bharti. Does this course cover my req. below. asked:

My requirements do not fit in this box. Can I send them by email to confirm if this course fits what I need to learn. I am a Physics student.

Answer:

Certainly this training course is for you because it does not require any prior experience. Everything will be clear and understandable to you. And if you have any questions, do not hesitate to ask questions and I will answer you as soon as possible. Best wishes, Ahmed

This was helpful. Thank you for your feedback.
Ask a question

Reviews

4.5
Course rating
90%
Service
90%
Content
91%
Value

Legal information

This course is advertised on Reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.

FAQs

Study method describes the format in which the course will be delivered. At Reed Courses, courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

CPD stands for Continuing Professional Development. If you work in certain professions or for certain companies, your employer may require you to complete a number of CPD hours or points, per year. You can find a range of CPD courses on Reed Courses, many of which can be completed online.

A regulated qualification is delivered by a learning institution which is regulated by a government body. In England, the government body which regulates courses is Ofqual. Ofqual regulated qualifications sit on the Regulated Qualifications Framework (RQF), which can help students understand how different qualifications in different fields compare to each other. The framework also helps students to understand what qualifications they need to progress towards a higher learning goal, such as a university degree or equivalent higher education award.

An endorsed course is a skills based course which has been checked over and approved by an independent awarding body. Endorsed courses are not regulated so do not result in a qualification - however, the student can usually purchase a certificate showing the awarding body's logo if they wish. Certain awarding bodies - such as Quality Licence Scheme and TQUK - have developed endorsement schemes as a way to help students select the best skills based courses for them.
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