Data Science and Machine Learning using Python - A Bootcamp (Udemy.com)

Numpy Pandas Matplotlib Seaborn Ploty Machine Learning Scikit-Learn Data Science Recommender system NLP Theory Hands-on

( 95 Reviews )

Produced in 2021

Quality Score

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Overall Score : 96 / 100

Course 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 this course:

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 Trade-off, saving and loading your trained Machine Learning Models
Logistic Regression
Confusion Matrix, True Negatives/Positives, False Negatives/Positives, Accuracy, Misclassification Rate / Error Rate, Specificity, Precision
K Nearest Neighbour (KNN)
Curse of Dimensionality, Model Performance
Decision Trees
Tree Depth, Splitting at Nodes, Entropy, Information Gain
Random Forests
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, Bag-of-Words (BoW), Term Frequency-Inverse Document Frequency (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, transactions 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!
Who this course is for:

For you, if you:
want to learn Data Science with Python
want to learn Machine Learning with Python
are tired of complicated courses and "Learn by Doing"

Time: 24.5h

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95 total reviews

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By Sangeetha G J

Inspite of being a beginner to programming, i found it very useful and understandable. Explained in very good manner and quick response to the queries too.

By Adbullah Ahmad

Excellent teacher and to the point course content. Please create more courses so that your courses will provide complete learning path to students.

1- Data Science & Machine Learning using Python - A Bootcamp - good

for all

2- Refresher course in Linear Algebra, Calculus, Probability &

Statistics special focus ML & DL

2- Data Science & Machine Learning using Python - Intermediate level

3- Data Science & Machine Learning using Python - Advance level

4- Good size Projects of Data Science, Machine Learning, Deep Learning

By Lou Spironello

This is a long, comprehensive course. The course covers many of the fundamental libraries used in Data Science and Machine Learning, such as NumPy, SciKit-Learn, as well as visualization libraries, such as Seaborn, Matplotlib, Plotly. Clever code tips and tricks were mentioned. Thorough coverage of the libraries and their usage.

Thank you, Dr. Qazi.

By Bhushan

i think the topic are going to cover are really excellent

By Aniket Patil

This was amazing course. Helped me understanding the concepts and perform the exercise. And yes practice is must to succeed in ML.

Thank you

By Baranidharan

Good

By Kaja Khudhubudeen K

It is a wonderful course which focused on the required portions of Data Science and Machine Learning. Very helpful for DS Beginner and Practitioner to have overall knowledge of what to do in ML. Since I am a BI analyst, I am very much loved the Data Visualization lessons using Pandas and Seaborn. Please go through the courses thrice and you will be amazed to realize and learn new things in the same lesson. Good Luck Everyone! Thank you Junaid for keeping it crisp and knowledgeable!

By Stevy Makoumbou

Because of this course I have a better understanding of Machine Learning, it sheds more light on some concepts previously unknown. Thank you

By tyler hackett

Yes, this is the career i would like to go into

By Tariq Farooq

I like the way course organized and explain by examples. Thanks

By Soelyla Salie

I've completed the course and it feels intuitive and completing tasks faster with greater understanding.

Simply because the instructor gives a brilliant breakdown of the theory, lots of exercises and finally a 'learn-by-doing" enjoyable project.

This is repeated throughout the course.

Well done and I hope to see more courses , and perhaps additional topics to this already extensive Data Science course.

Dr Quazi is a terrific instructor