Digital Upskilling Training for Banks

Focuses on finance digital transformation

Covers the latest banking sector trends

Case studies on tech innovations

24-hour training

Easy & convenient payment options

4.9/5

4500 Enrolled

Overview

What our training includes

Prepares professionals for digital finance transformation
Develops skills for banking sector growth
Provides insights into finance digitalization
Illustrates tools for efficient digital workforces
Offers understanding of banking digital innovation

Learning Objectives

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

Understand digital transformation challenges and opportunities in banking

Identify and overcome barriers to digital transformation in banks

Discover effective digital channels for customer engagement

Use data and fintech tools to predict behaviour and boost sales

Implement measurement frameworks to evaluate digital transformation success

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Overall ratings by our students

Upcoming sessions

Our Trainers

We, at Learners Point, take immense pride in our teaching methods and instructors. Our instructors are some of the best experts in their fields and employ a practical approach to learning. Many of them are globally recognised and have a diverse set of experience in their field of expertise. You are always sure to have the best in the industry as your teachers who are ready to guide you at every step and make the experience informative yet enjoyable. Apart from the focus on learning your chosen course, our instructors also encourage students to develop communication skills and interpersonal skills necessary to excel in the practical world.

Our cutting edge teaching methods make every program an immersive and productive experience for the learners. Our learning methods are research-driven and are continuously updated to stay relevant to present times as well as the future. You will enjoy practical applications of everything learned through theory and regular mock examinations to help monitor your progress. Our courses are led by an instructor in a classroom setup and we do offer online high-quality sessions as well for individuals. We also monitor the training sessions with a progress tracker to maintain high standards of instruction and ethics.

Ms. Farida

Farida, a seasoned digital marketing trainer, excels in crafting content strategies aligned with business objectives, and optimizing campaign performance. With extensive experience in sales, marketing, and operations, she formulates 360-degree marketing strategies, driving company visibility and qualified traffic.

Her track record includes impactful campaigns, robust internet marketing, and SEO strategies. Farida leads online marketing initiatives, leveraging activities such as keyword research, link building, content marketing, PPC advertising, social media, and email campaigns. Taking hands-on ownership of social media performance, Farida integrates platforms with analytical tools like Google Analytics. She focuses on optimizing SEM paid app and social media campaigns, exploring new avenues for brand growth.

Farida's expertise extends to building brand awareness within the digital space, and implementing creative best practices. Comprehensive reporting covers digital marketing campaigns across platforms, including social, Google, and DV360. She structures campaigns based on KPIs, meticulously trafficking and collaborating with content teams for engaging content.

Core Competencies:

Performance Marketing
Media Planning
Social Media Marketing
Optimizing PPC/CPC/ CPL/ CPS Campaigns
Campaign Analyzing
Keyword Research
Analyzing Consumer Journey Funnel
Content Strategy
E-Commerce Marketing
Campaign Optimization & Analysis
Search Engine Marketing Optimization
Growth Strategy

Professional Qualifications:

Google Analytics
Appsflyer
META Business Suite
Semrush
TUNE
Similar Web
Sprout Social
Brandwatch
Post-Graduation in Digital Marketing, The DMTI, Mumbai
Bachelor's in Media Studies, Symbiosis Institute of Media & Communications, Pune Our Own English High School, Dubai

KHDA Certificate

Earn a KHDA attested Course Certificate. The Knowledge and Human Development Authority (KHDA) is the educational quality assurance and regulatory authority of the Government of Dubai, United Arab Emirates.

Learners Point Certificate

Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.

Related courses

Curriculum

Introduction to Data Science
Data Science vs Business Analytics vs Big Data
Classification of Business Analytics
Data Science Project Workflow
Various Roles in Data Science
Application of Data Science in various industries

Introduction to Data Science with Python
Python Basics: Basic Syntax, Data Structures
Data objects, Math, Comparison Operators, Condition
Statements, loops, lists, tuples, dicts, functions
Numpy Package
Pandas Package
Python Advanced: Data Mugging with Pandas
Python Advanced: Visualization with Matplotlib
Exploratory Data Analysis: Data Cleaning, Data Wrangling
Exploratory Data Analysis: Case Study

Introduction to Statistics
Harnessing Data
Exploratory Analysis
Distributions
Hypothesis & Computational Techniques
Correlation & Regression

Visual Analytics Basics
Basic Charts, Plots

Install SQL packages and Connect to DB
RDBMS (Relational Database Management) Basics
Basics of SQL DB, Primary key, Foreign Key
SELECT SQL command, WHERE Condition
Retrieving Data with SELECT SQL command and WHERE Condition to Pandas DataFrame
SQL JOINs
Left Join, Right Joins, Multiple Joins

Machine Learning Introduction
What is ML? ML vs AI. ML Workflow, Statistical Modelling of ML
Application of ML
Machine Learning Algorithms
Popular ML algorithms, Clustering, Classification, and Regression, Supervised vs Unsupervised.
Choice of ML
Supervised Learning
Simple and Multiple Linear Regression, KNN, and more
Linear Regression and Logistic Regression
Theory of Linear regression, hands-on with use cases
K-Nearest Neighbour (KNN)
Decision Tree
Naïve Bayes Classifier
Unsupervised Learning: K-Means Clustering

Advanced Machine Learning Concepts
Tuning with Hyperparameters
Random Forest – Ensemble
Ensemble Theory, Random Forest Tuning
Support Vector Machine (SVM)
Simple and Multiple Linear Regression, KNN
Natural Language Processing (NLP)
Text Processing with Vectorization, Sentiment Analysis with Text Blob, Twitter Sentiment Analysis
Naïve Bayes Classifier
Naïve Bayes for Text Classification, New Articles Tagging
Artificial Neural Network (ANN)
Basic ANN network for Regression and Classification
TensorFlow Overview
Deep Learning Intro

What is a Time-Series?
Trend, Seasonality, Cyclical and Random
White Noise
Auto Regressive Model (AR)
Moving Average Model (MA)
ARMA Model
Stationarity of Time Series
ARIMA Model – Prediction Concepts
ARIMA Model Hands-on with Python
Case Study Assignment on ARIMA

Basics of Application Program Interface (API)
API basics, loosely Coupled Architecture
Installing Flask
Installation and configuring Flask and cross-domain authentication
End to End ML project with API Deployment
Complete Project Flow with API Deployment and assess through the website

Introduction to Deep learning
What is Deep Learning?
Various Deep Learning models in practice and applications
Convolutional Neural Network CNN Intro
Case Study: Keras–TensorFlow Image Classification
CNN hands-on application for classification of images of Cats and Dogs

Finance Overview

Introduction
Key roles and responsibilities
Key Processes and Metrics

Data Science Workflow

Data Science in Finance
Data Science professionals’ roles
Descriptive Analytics to derive insights from data
Workflow Optimization and Process Improvements

Application In Finance

Predictive Analytics core concepts
Machine Learning application in Finance

Challenges Of Data Science In Finance

Limitations of Data Science adaption in Finance
Challenges in transition

Data Science Use Cases In Practice In Finance

Data Science Industry use a case in the Finance domain

Frequently asked questions

With an emphasis on digital transformation and customer-centric solutions, a digital banking course offers thorough instruction on the ideas, tactics, and technology advancing contemporary banking.

Our course is suited for professionals in the banking sector with an interest to enhance their understanding of digital technologies in their field of work. It is ideal for but not limited to:

1) Banking Leaders
2) Banking Managers
3) IT Professionals in the banking sector

Our course curriculum in Dubai covers:

1. Digital transformation strategies
2. Fintech
3. Blockchain
4. Cybersecurity
5. Data analytics
6. Mobile banking
7. Customer relationship management

There are no specific entry requirements to enrol in our course. However, a basic understanding of the financial and banking field will be an added advantage.

Digital knowledge is the most essential requirement to thrive in this digital era. With the global digital transformation market growing at an exponential rate, the scope for digitally upskilled professionals is high, opening a plethora of opportunities. As the UAE is becoming home to aspiring professionals, the job prospects of digitally upskilled professionals in Dubai are very bright and promising.

Some of the most-sought banking jobs available for our certified professionals are:

1. Retail Banking Leaders
2. Banking Department Heads
3. Banking Executives
4. Innovation Experts
5. Banking Business Unit Heads

Learners Point Academy offers flexible training sessions. You can opt for offline or online learning. You can choose the mode that allows you to balance this course with your work and personal commitments.

Our participants gain insights into advanced tools, improved customer service capabilities, ehnance decision-making with data analytics, and keep up with market trends.