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Program Details

  • Starting on: 26 Jun 2021
    Enrollment deadline
    26 Jun 2021

    10 classes Language : English
    Sat
    5:00 am New_York Time Duration 3 hours 0 minutes
    23 Slots Left

    +5

Instructors

Fawad Mahdi

Chief Product Officer, LiberaTrade

Fawad has over 10+ years of experience in helping organizations make data driven decisions using machine learning and big data. With distinction in Strategy and Big Data, Fawad has helped 1000s of students and industry professionals break into the world of Data Science.

Hadi Tabani

Founder, Liquid Technologies

Hadi is the cofounder of Data Science Journey, a platform aiming to help students and entrepreneurs break into data science careers. He also is the founder of Liquid Technologies, a company that is focused towards providing cutting edge Data Analytics and Software Development services to our clients.

Junaid Haris

Erasmus+ Scholar | Machine Learning Engineer | Gold Medalist

Junaid Haris is a Machine Learning Engineer with passion for teaching and empowering the youth of Pakistan. He is an Instructor with Fawad and Hadi at Data Science Journey.

Course Curriculum

Python is one of the most popular languages and is gaining a lot of popularity in the machine world domain. It is not only easy to learn but allows users a lot of flexibility to design different projects. This unit will teach you about the application of data science and machine learning in python. The course is designed such that even students with no programming background will be able to learn the fundamental concepts. The scope will only be based on concepts which is needed in the real world. We will focus on the following topics ● Python fundamentals ● Variables, data types & comparison operators ● Logical operators ● Loops and functions ● Lists and list comprehensions ● Dictionaries ● Lambdas functions ● Maps and filters ● Data distributions ● Scatter plots ● Displaying and describing quantitative data ● Dealing with different data types in Python. Libraries to be covered ● Pandas ● Numpy ● Matplotlib ● Scikit learn ● Seaborn Learning outcomes ● Become familiar with Python and its applications in data science ● Ability to code machine learning algorithms using built-in libraries ● Perform advanced data wrangling using python commands and libraries ● Ability to create custom functions that help in automating ML pipelines. ● Perform data exploration and impute missing values in a data frame

Power BI is a business analytics service by Microsoft. It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards. In this course, you will learn how to connect, explore, and visualize data with Power BI. Power BI Desktop provides a free-form canvas for drag-and-drop data exploration as well as an extensive library of interactive visualizations, simple report creation, and fast publishing to the Power BI service. Topics: Introduction to Business Intelligence and Data Analysis and Visualization Introduction to Power BI Connection to different data storages Data Modelling in Power BI a) Relationships in Power BI b) Quick Measures and Calculated Measures in Power BI c) Calculated Tables and Calculated Columns d) Time Intelligence Visuals in Power BI a) Create and Format Visualization b) Analytics Pane c) Clustering Data d) Slicers e) Map Visualization f) Tables and Matrixes g) Waterfall Chart, Funnel chart, and Scatter Chart h) Gauge, cards, and KPIs i) Visual Interactions j) Positioning, aligning, and sorting visuals Dashboard and Power Bi Services

Machine Learning is a fundamental aspect of data analytics that automates analytical model building in modern business. In the big data era, managers are able to use very large and rich data sources and to make business decision based on quantitative data analysis. Machine Learning covers a range of state-of-the-art methods/algorithms that iteratively learn from data, allowing computers to find hidden patterns and relationships in such data so as to support business decision. Emphasis is placed on applications involving the analysis of business data. Students will practice applying machine learning algorithms to real world datasets by using an appropriate computing package in Python. The classes will contain a training session and a LAB session to demonstrate the theory into practice. Learning unit outcome On successful completion of this course, you should be able to: ● Have a deep understanding on different types of learning algorithms and can identify advantages and limitations of each method ● Build a strong machine learning skill set for business decision making ● Create machine learning models for studying relationship amongst business variables ● Work with various data sets and identify problems within real-world constraints ● Demonstrate proficiency in the use of statistical software, e.g. Python, for machine learning models implementation. This unit introduces modern machine learning techniques and builds skills in using data for everyday business decision making. Topics include: 1) Machine Learning Foundation; 2) Modern Regression Methods a. Linear regression b. Ridge c. Lasso d. Elastic net 3) Advanced Classification Techniques a. Logistic regression; b. Decision trees 4) Ensemble algorithms; a. AdaBoosting b. Random Forest 5) KNNs a. Regression b. Classification 6) Unsupervised learning a. Kmeans clustering Techniques we will be covering ● Model selection ● Addressing Class-imbalance ● Regularization ● Hyper-parameter selection and tuning ● Cross validation ● Train, validation and test set

Detailed workshops on tricks and tips on different feature engineering and feature selection techniques along with a full ML project on HR ANALYTICS

Previous Participants from

Testimonials

Learners ❤️ Airschool

DANISH WAHEED, CFA

Senior Manager - Financial Advisory at Deloitte

As daunting and broad it may sound, Data Science is in fact very well understood and framed at DSJ. I am glad I happened to learn the core data science concepts from these guys who are not only guided by theory but are equally impressive in showcasing the real world technological challenges. At DSJ I found the course well balancedb/w its core components of statistics,python, machine learning and visualization. The level of detail covered in each of these areas and especially the immersive approach taking all students together is highly commendable. Each component is taught by a tutor who seems to be an expert in his area and doesn't shy away from resolving problems and queries through various communication modes. The edge and why I would recommend DSJ is that the conceptual delivery is very similar to that we are used to in Pakistan where tutors are understanding of the local student mindset. Such learning mode is definitely premium in comparison to other preset data science courses available with international learning providers. Also the price at which the course is being offered is great value especially with a project at end of the course in the form of internship with real firms giving you a practical playfield.

COMAL AZHAR

Assistant Manager, HR Services, Abudawood Pakistan Trading Company and IBA Alumni

The course was extremely helpful in inculcating a holistic understanding of Data Science, including concepts of Stats, Python and Machine Learning combined. The course outline was extensive yet it was perfect for beginners like me who had no background of Data Science previously whatsoever. The course is highly recommended. Having said that, solving assignments before the classes is a must for a complete understanding.

ABDUL WADOOD

Deputy General Manager - NMS/ADMS Lead, Data Specialist at K-Electric

I subscribed to DSJ course knowing I needed to refresh my skill set in this space after having only learned the subject from MOOC platforms few years ago. There is a unique advantage to taking a course in a classroom setting - taught by young, energetic professionals who are organic in their approach and grounded in delivery methods. I have learned a teacher can make or break your interest in subjects, topics and overall will to keep learning. DSJ brought an experience through their team that delivered topics of Python and ML with great tenacity and renewed my waning interest in some areas. I think the DSJ team will only grow as it I see it as one of the core entrants in DS-Pakistan space - that will add to the 'critical mass' of players who will in future move and shake things - that can be done to alleviate issues in the country and beyond.

M

Muhammad Arsalan

Student IBA KHI

My journey with DSJ has been nothing short of amazing! The teachers are super talented and supportive, classes were practical, engaging and properly paced. DSJ has completely demystified the cliché around data science being hard, I have learnt a lot and have gained confidence for the field

S

Dr. Shahaan Waheed

AKUH

It was an amazing experience taking this course. All the instructors are very helpful. looking forward to work with them in healthcare canvas. would recommend to all data lovers out there to attend this and decode the complex meshwork of data science with ease

A

Abdul Wadood

Director K.E.

DSJ brought an experience through their team that delivered topics of Python and ML with great tenacity and renewed my waning interest in some areas. I think the DSJ team will only grow as it I see it as one of the core entrants in DS-Pakistan space - that will add to the 'critical mass' of players who will in future move and shake things - that can be done to alleviate issues in the country and beyond

Come out of this class as a

  • Python Expert
  • Data Scientist
  • Business Analyst
  • Machine Learning Expert
  • Consultant
  • Freelancer
  • Data Analyst

Live,
Cohort-Based
Learning

  • Engagement and interaction

    You will not listen to one-way lectures, rather be in a digital classroom with some of the best experts and class fellows. Class size won’t be massive and you’ll have the floor to yourself to ask questions, debate, share your thoughts and contribute to everyone’s mastery.

  • Transparency and accountability

    Coursework like pop quizzes, short assignments, case studies can really help refresh and reinforce concepts. When everyone’s participating and sharing their ideas, you’ll feel challenged to come up with bigger and better ideas, thus having work to show by the end of the cohort.

  • Community and synergy

    Teamwork makes the dream work. Connect with your classmates, a group of like-minded people working towards the same goals and course outcomes as you. Support, challenge yourself and others, and possibly build lifelong relationships.

  • Results and impact

    Live, cohort-based courses are all about the transformation over a short period of time. This is what you and your cohort work together to achieve. You will come out of this course transformed in many, many ways.

Salient Features

This is not an ordinary course but a masterclass specially designed to help you become successful in the market. Some of the perks include:

Live Classes

All the classes will be conducted live giving you the opportunity to engage with the instructor and fellow course takers.

Replay Available

If for some reason, you missed a lecture, videos will be provided for you to stay up to speed with the class.

Guest Lectures

Meet Successful people who started their journey from content creation. Seek inspiration and learn from their experiences.

Practical Exercises

Clearly designed assignments and goals to build your foundations throughout the class

Networking Opportunities

A Dedicated Slack community to connect with your classmates and instructor

Useful Resources

Get inspiration from the work of your fellows. Find your own tribe of supporters!

Language

The class will have batches in Local language.

Certificate

Certification will be provided to participants.


Fee Structure

Apply now and get free access to the precourse work.

  • Starting on: 26 Jun 2021
    Enrollment deadline
    26 Jun 2021

    10 classes Language : English
    Sat
    5:00 am New_York Time Duration 3 hours 0 minutes
    23 Slots Left

    +5

One time fee for the whole master class

FAQs

The live classes for the courses will be conducted on our platform, Airschool, and zoom. Once you enrol, you will get the joining details. Slack channels will be available for after-class conversations and discussion.

Airschool provides learners with a 7-days money-back guarantee. If you feel that the course doesn’t deliver to its expectations or doesn’t teach what it promised, you can apply for a refund within 7-days of enrolling for the course. Mail us at support@airschool.com explaining the reason behind your decision and you will get your money back in 7 working days.

We love improvement and we love when it’s based on our users’ feedback. We expect you to record your constructive comments in our feedback form and these will be used to improve the course for the next batches.

Yes, certificates will be provided.