DATA SCIENCE FOR FINANCE PROFESSIONALS - LAHORE
Block, 116 Tipu Rd, Lahore, Pakistan
Block, 116 Tipu Rd, Lahore, Pakistan
The amount of data available to organizations and individuals is unprecedented. Financial services sector has the most digital data stored per firm on average. Finance companies that want to maximize use of this available data require professionals who have a keen understanding of Data Science and know how to use it to solve meaningful business challenges.
The financial industry has been one of the early adopters of the field of Data Science and the need for financial data scientist role has been growing rapidly. Data science, as applied to finance, is the field where you build systems and processes to extract insights from financial data in various forms.
For example, a data scientist could be required to build Machine Learning models for risk analysis or work with financial transactions data to identify fraudulent and risky behavior. In the field of customer service, banks can serve their customers better by analyzing their behavioral data using various Data Science methods. Banks can also use Data Science to forecast various aspects of business such as profitability, delinquency and closure. All financial institutions including JPMorgan, Citibank, Goldman Sachs, HSBC, Deutsche Bank are hiring more data scientists every year and this trend is expected to continue in the coming years.
Persontyle in collaboration with ACCA Pakistan is excited to announce a series of Bootcamps for business and finance professionals to practically learn the art and science of discovering patterns and making intelligent predictions from data. With the knowledge and skills gained from this Bootcamp, you will be able to tackle real-world Data Science challenges in finance industry.
Powered by curriculum designed by the School of Data Science and Engineering UK, European Data Science Academy and international expert instructors, this immersive 6-week Data Science for Finance Professionals Bootcamp (Saturdays from 10:30 AM to 04:30 PM) gives you an applied introduction to Data Science industry practices and models of Machine Learning. Bootcamp has a strong focus on gaining hands-on experience implementing algorithms and building predictive models on real data sets.
TOP REASONS TO ATTEND
foundations in business Data Science and industry analytics
overview of Data Science and Machine Learning methods
Discover Data Science and Machine Learning use cases and application to solve real-world industry problems
the advantages of Data Science and specific Machine Learning methods
hands-on R programming experience
effective Data Visualization techniques using PowerBI and Base R
on your journey to become a Data Scientist!
WHO SHOULD ATTEND THIS BOOTCAMP?
This Bootcamp is aimed at business and finance professionals, management consultants, developers, architects, project managers, executives, analysts, engineers, journalists, and all those who wish to learn to work with and explore data using variety of Data Science, Visualization, and Machine Learning techniques . This is also a great opportunity for ACCA students and recent graduates who would like to explore Data Science as a career possibility.
Prerequisites: Undergraduate-level mathematics, statistics and programming concepts and advanced technology literacy
Participants from these companies and organizations have
attended our training programs in the past in Europe and Middle East. We are Europe’s
leading Data Science and Machine Learning professional education provider.
Venue and training facilities are provided by SKANS School of Accountancy
Every Saturday from 10:30 AM to 04:30 PM at SKANS School of Accountancy Head Office
116-Tipu Block, New Garden Town. Tel: 042-35854311-14
If you have questions or having difficulty finding the venue please contact Shazil on +92 320 0453264
HERE'S WHAT YOU'LL LEARN AT THE BOOTCAMP
Once your registration is confirmed and you are enrolled in the
Bootcamp, we will give you access to Pre-Bootcamp material. Participants will
complete prerequisite of the Bootcamp by doing on-line courses and basic exercises
before start of the Bootcamp. All tasks and exercises must be completed before
the first day of Bootcamp.
After completing Pre-Bootcamp work, participants will be ready
for the full Bootcamp experience. For six weeks (every Saturday from 10:30 AM
to 04:30 PM at SKANS School of Accountancy Head Office) we will learn the theory,
skills, and tools of modern Data Science and Machine Learning.
Note: Please bring your own laptops and don't forget to bring power chargers.
Saturday's from 10:30 AM
to 04:30 PM
DNA of Data Science and Machine Learning
Data Science and Machine Learning lifecycle and workflow
Big Data Technology Overview: Open source platforms like Apache Hadoop, Spark and cloud technologies have made it possible to store and process large volumes of data (regardless of their nature/format) in an efficient way which needs to be processed and transformed to extract insights
Machine Learning: Read and extract new trends from the data which then turns into valuable insights.
Industry use cases and applications
Minimize risk and compliance issues
Customer relationship management
Getting Started with R – Installation, Configuration and introduction to all data types and functions. Coding experience with R and different packages.
Working with Data
Import: we need to import our raw data from one or more data sources to R
Clean: Inspect and clean raw data in order to work effectively with it to produce reliable results
Transform: Transform clean data into a form suitable for data analysis
Export: Export our data into the different format so that it can be share with others
Exploratory Data Analysis
Tableau for Reporting
Data Wrangling, Cleaning and Basics of Exploratory Data Analysis along with Visualization at Tableau.
Reshaping Data Using Packages of R
Handling Error and Outliers
Getting Started with Machine Learning
Hypothesis Testing, Outlier Detection and Removal, Statistical Tests and basics of CaRet.
Supervised Machine Learning Methods
Regression based models
Classification based models
Linear Regression in Finance, Classification for Fraud Detection, Going Deeper into transformation with Feature Engineering, Normalization and Quantification.
PowerBI for visualization
Azure Machine Learning Studio
Use Case: Regression and Classification
Working with Time Series Dataset
Time Series Model: ARIMA and HMM
Credit Risk Scoring
Working with Data in PowerBI, Data Import, Model Building in Azure ML. Time Series with Arima and HMM, Working through Credit Risk and Bad Loan Scoring.
Participating in Kaggle Competition
How to become a Data Scientist discussion.
Next steps and continuous learning resources
Capstone Project: Working on industry Data Science challenge.
Participants who've successfully completed the course work and labs will receive "Certificate of Achievement" issued by the School of Data Science and Engineering, UK
BOOTCAMP INSTRUCTORS AND FACILITATORS
RANA MUHAMMAD USMAN – SENIOR DATA SCIENTIST
Rana Muhammad Usman is an electrical engineer with a solid enthusiasm for Machine Learning. The foundations of his intrigues go back to his student life in which he essentially worked in Deep Learning. Later he began his profession in Data Science and have dealt with different data based tasks going from manipulation to analytics to predictive modeling. He has worked in Oil Industry to automate labor intensive procedures using Machine Learning. He has strong enthusiasm for math and aspires to be a mathematician. Additionally, he is also a part time singer, writer and enjoys taking nature photographs.
MUHAMMAD SOHAIB – SENIOR DATA ENGINEER
Muhammad Sohaib is a Computer Engineering graduate from the UET-TAXILA. Sohaib started his career in 2013 as a Software Developer in a startup, later on he joined a predictive analytics company with headquarters in Research Triangle Park, North Carolina. The company used advanced algorithms to predict outcomes of social and commercial problems. He served company for a duration of 1.5 years as a Technical Lead. In 2016, he joined multi-national company Ebryx having different Clients in USA, most of the work was on machine generated data and he build an application using his own custom algorithms to ingest machine generated data, clean it and generate visualizations .Currently he is working with Persontyle as a Senior Data Engineer. Sohaib has very good hands on experience in Python, Machine Learning, Deep Learning, Hadoop and Ecosystem, Blockchain and leading cloud platforms.
MUHAMMAD SALMAN GHAURI – INDUSTRIAL IOT PLATFORM ENGINEER
Salman is a talented engineer pursuing his career in the field of Data Engineering and IoT. He is a technology enthusiast who has followed a path of software development. His core area of expertise are Big Data, IoT, IIoT, and Deep Learning. He plans to do academic research in these areas. He likes to travel, play sports and watch movies.
ALI SYED - CHIEF SCIENTIST AND ENTERPRISE INTELLIGENCE EXPERT
As a global data and AI thought leader, Ali is collaborating with
thinkers, researchers, designers, makers, doers, and business leaders.
He has more than 18 years of professional experience and success
assisting public and commercial organizations in using data analytics,
insights and machine intelligence as a value amplifier. He works with
people to understand and translate their aspirations into data and
analytical solutions that enhance their ability to make choices, better
decisions, realize performance gains and uncover opportunities. Before
founding Persontyle, Ali worked with some of the leading technology and
consulting organizations of the world namely PwC, KPMG BearingPoint,
Sapient, EMC, UBS, NHS UK, and Capgemini.
HOW TO REGISTER?
Register online here and pay using your Credit /Debit card or by choosing one of the other methods listed below.
Paying by Easy Paisa, Jazz Cash, Credit Card, Debit Card? Follow this link to register http://bookitnow.pk/event/data-science-for-finance...
Paying by cash? you can do offline registration by filling the application form and making the cash payment at SKANS front desk (before 08 Nov 2017)
Please email email@example.com or call Shazil on +92 320 0453264 if your have any questions.
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We believe that accountancy is vital for economies to grow and prosper, which is why we work all over the world to build the profession and make society fairer and more transparent.
We have more than 198,000 fully qualified members and 486,000 students worldwide. They're among the world’s best-qualified and most highly sought-after accountants - and they work in every sector you can imagine.
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For details please visit our website http://www.accaglobal.com/pk/en.html
SMART PAKISTAN FOUNDATION
Smart Pakistan Foundation (SPF) is an open collaboration program of Persontyle Pakistan Limited. SPF is dedicated to help people, communities, NGOs, public sector, and across industries to succeed in a digital data-intensive world. We envision a digital Pakistan where everyone has the skills and knowledge to make informed choices and achieve new insights and understanding using digital technologies and machine intelligence. At the end of the day every citizen of Pakistan needs to have at least basic digital skills and AI literacy to live, work, learn and participate in the 21st century society.
For details, academic collaborations, research and industry partnership opportunities, please email firstname.lastname@example.org
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