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Data Science & Machine Learning Bootcamp– Class 1 of 10 — – Python Essentials

Greetings, I am so excitedto learn that you have started your path to becoming aData Scientist with my course. Data Scientist is in-demand andmost satisfying...
4.8
4.8/5
(9 reviews)
372 students
Created by

9.0

CourseMarks Score®

7.8

Freshness

9.3

Feedback

9.3

Content

Platform: Skillshare
Video: 2h 35m
Language: English
Next start: On Demand

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Detailed Analysis

CourseMarks Score®

9.0 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness Score

7.8 / 10
This course was last updated on 1/2020.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Student Feedback

9.3 / 10
We analyzed factors such as the rating (4.8/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Content Score

9.3 / 10
Video Score: 7.9 / 10
The course includes 2h 35m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 4 hours 17 minutes of 4 Scikit-learn courses on Udemy.
Detail Score: 10.0 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Table of contents

Description

Greetings, 

I am so excited to learn that you have started your path to becoming a Data Scientist  with my course. Data Scientist is in-demand and most satisfying career, where you will solve the most interesting problems and challenges in the world. Not only, you will earn average salary of over $100,000 p.a., you will also see the impact of your work around your, is not is amazing?

This is one of the most comprehensive course on any e-learning platform (including Udemy marketplace)which uses the power of Python to learn exploratory data analysis and machine learning algorithms. You will learn the skills to dive deep into the data and present solid conclusions for decision making. 

Data Science bootcamps are costly, in thousands of dollars. However, this course is only a fraction of the cost of any such bootcamp and includes HD lectures along with  detailed code notebooks for every lecture. The course also includes practice exercises on real data for each topic you cover, because the goal is “Learn by Doing”! 

For your satisfaction, I would like to mention few topics that we will be learning in these 10 classes:

  • Basis Python programming for Data Science

  • Data Types, Comparisons Operators, if, else, elif statement, Loops, List Comprehension, Functions, Lambda Expression, Map and Filter

  • NumPy

  • Arrays, built-in methods, array methods and attributes, Indexing, slicing, broadcasting & boolean masking, Arithmetic Operations & Universal Functions

  • Pandas

  • Pandas Data Structures – Series, DataFrame, Hierarchical Indexing, Handling Missing Data, Data Wrangling – Combining, merging, joining, Groupby, Other Useful Methods and Operations, Pandas Built-in Data Visualization

  • Matplotlib

  • Basic Plotting & Object Oriented Approach

  • Seaborn

  • Distribution & Categorical Plots, Axis Grids, Matrix Plots, Regression Plots, Controlling Figure Aesthetics

  • Plotly and Cufflinks

  • Interactive & Geographical plotting

  • SciKit-Learn(one of the world’s best machine learning Python library) including:

  • Liner Regression

  • Over fitting , Under fitting Bias Variance Tradeoff

  • Logistic Regression

  • Confusion Matrix, True Negatives/Positives, False Negatives/Positives, Accuracy, Misclassification Rate / Error Rate, Specificity, Precision

  • K Nearest Neighbour

  • Curse of Dimensionality, Model Performance

  • Decision Trees

  • Tree Depth, Splitting at Nodes, Entropy, Information Gain 

  • Random Forest

  • Bootstrap, Bagging (Bootstrap Aggregation)

  • K Mean Clustering

  • Elbow Method 

  • Principle Component Analysis (PCA)

  • Support Vector Machine

  • Recommender Systems

  • Natural Language Processing (NLP)

  • Tokenization, Text Normalization, Vectorization, BoW, TF-IDF, Pipeline feature……..and MUCH MORE……….!

Not only the hands-on practice using tens of real data project, theory lectures are also provided to make you understand the working principle behind the Machine Learning models.

So, what are you waiting for, this is your opportunity to learn the real Data Science with a fraction of the cost of any of your undergraduate course…..!

Brief overview of Data around us:

According to IBM, we create 2.5 quintillion bytes of data daily and 90% of the existing data in the world today, has been created in the last two years alone. Social media, transections records, cell phones, GPS, emails, research, medical records and much more…., the data comes from everywhere which has created a big talent gap and the industry, across the globe, is experiencing shortage of experts who can answer and resolve the challenges associated with the data. Professionals are needed in the field of Data Science who are capable of handling and presenting the insights of the data to facilitate decision making. This is the time to get into this field with the knowledge and in-depth skills of data analysis and presentation.

Have Fun and Good Luck! 

You will learn

Dear learners,

There are 10 classes in this bootcamp. You will learn range of python libraries that are essential to learn the Data Science and Machine Learning. During this journey, you will do lots and lots of hands-on training and implement several end-to-end machine learning models using real datasets.

Please download the attached zip folder “Course_Material”. This includes all the files and notebooks that you need for the complete bootcamp (class 1 to 10). This class will provide you a strong platform to work on more advance libraries such as numpy, pandas, matplotlib, seaborn, plotly, scikit-learn, nltk etc. We will cover all these libraries in this bootcamp along with end-to-end Machine Learning projects using state of the art algorithms and real datasets. You will learn theory and get lots of hands-on training using real data project.

Good Luck! 

Requirements

There is no prerequisite, anyone can begin this course.. This course is also great for beginners without any Scikit-learn knowledge.

This course is for

This course is suitable for beginners.

How much does the Data Science & Machine Learning Bootcamp-- Class 1 of 10 -- - Python Essentials course cost? Is it worth it?

You can enrol in this course with a Skillshare subscription that costs $8/month, but you start with a FREE 7-day trial. You can also enrol in thousands of courses on a variety of topics with your subscription, including several Scikit-learn courses.
The average price is $12.2 of 4 Scikit-learn courses on Udemy.

Does the Data Science & Machine Learning Bootcamp-- Class 1 of 10 -- - Python Essentials course have a money back guarantee or refund policy?

There is no money-back guarantee with Skillshare, but you can start with a free one-week trial to learn without risk. With the subscription, you can download classes to your tablet or phone using the Skillshare app.

Are there any SCHOLARSHIPS for this course?

At the moment we couldn't find any available scholarship forData Science & Machine Learning Bootcamp-- Class 1 of 10 -- - Python Essentials, but you can access more than 30 thousand classes for $8/month on Skillshare, including this one!

Who is the instructor? Is Dr. Junaid Qazi, PhD a SCAM or a TRUSTED instructor?

Dr. Junaid Qazi, PhD has created 12 courses that got 545 reviews which are generally positive. Dr. Junaid Qazi, PhD has taught 3,453 students and received a 4.7 average review out of 545 reviews. Depending on the information available, Dr. Junaid Qazi, PhD is a TRUSTED instructor.
Data Scientist
Data Scientist

9.0

CourseMarks Score®

7.8

Freshness

9.3

Feedback

9.3

Content

Platform: Skillshare
Video: 2h 35m
Language: English
Next start: On Demand

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