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Business Analyst
This learning track introduces the concepts, tools and techniques for Customer Acquisition Analysis, Customer Retention & Engagement Analysis, Data Handling & Descriptive Analysis, Data Presentation and Visualization.
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13 Courses
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9 Projects & Case Studies
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Difficulty: Intermediate
Foundational knowledge or experience in statistics or analytics is recommended.
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Duration: Approximately 6 months
Suggested learning pace is 5hr/week
Course Overview
- Learn the various Data Management and Data Transformation principles to fetch data from different tables, simple row & column operations and convert them to useable format to improve data inputs to Machine Learning models.
- Learn Data Pre-processing methods for noise removal through outliers and missing value analysis, basics of Data Visualization and other tools & techniques for Univariate & Multivariate data analysis.
- Develop a working understanding of the basics of statistical analysis and hypothesis testing that is used primarily in the domain of finance, marketing, clinical research etc for validating the claims.
- Understand the Acquisition Management function from a Banking and Financial services standpoint, the nuances of customer engagement and the role of analytics in improving customer engagement and the skill sets required to apply data analytics to manage customer retention and reduce customer attrition.
What’s included
Lifetime Access
Access this learning track for life once completed
Flexible Scheduling
Start learning online immediately, at your own pace
Desktop Only
We recommend completing this learning track on a desktop
Skills you will learn
- Application Of Analytics For Customer Acquisition In Banking & Financial Services
- Application of Analytics for Customer Engagement in Banking and Financial Services
- Application of Analytics for Customer Retention in Banking & Financial Services
- Fundamentals of Data Analytics
- Introduction to ANOVA
- Fundamentals of Data Pre-processing
- Basic Data Visualization Methods – I
- Data Mining Concepts and Techniques
- Feature Engineering in Python
- Advanced Feature Engineering technique
- Data Transformation
- Data Aggregation
- Introduction to Gain and Lift Charts
- Analyzing Student Marks – Hypothesis Testing
- Hypothesis Testing to Analyze Factors Affecting Parliamentary Attendance
- Hypothesis testing on Vehicle features for an online reseller of used cars
- Exploratory Data Analysis on Vehicle Crash data & Fatalities
- Analyzing Customer Rating on Voice Call Quality Across Different Regions
- Descriptive Analysis on Vehicle Accident Data for Autonomous Vehicles on Public Safety Strategy Planning
- Detecting Credit Card Fraud – Feature Engineering Techniques
- Cleaning & treating – HR attrition case study
- Credit Risk Modelling – Probability of Default: Data Treatment & Feature Selection
How it Works
Learn new skills that will boost your career by enrolling in courses across data analytics, data science, ML and AI. These courses will utilize readings, videos, quizzes, data cases, and even coding exercises to teach you skills and concepts in a way that will solidify your new knowledge for hands-on application.
With our hands-on projects, you will take your newly learned skills along with our 750+ low-code/no-code functions and embedded coding console to complete milestone-based projects. Once completed, you will have effectively applied new skills and concepts to real-world data cases that can be translated directly into your career.
Complete assessments and track your progress in real-time to benchmark your proficiency in relation to key functional areas. As you progress through your courses, our patented platform will utilize ML and AI to record and analyze your inputs and output to provide active feedback and recommendations that will help you learn more effectively than the standard Letter Grade system used today.
Complete courses to earn sharable certificates and badges. These awarded items will be look great in your portfolio as you showcase your skills and project experience to employers and colleagues.
Learner Outcomes
Complete learning tracks to earn shareable certificates and badges. These awarded items will look great in your portfolio as you showcase your skills, projects, and experience to employers and colleagues.
- Understand and apply different tools and techniques for data management, visualization, transformations, treatment, pre-processing, feature engineering and dimensionality reduction.
- Understand, identify and apply a suitable statistical test to verify the various hypotheses formulated for the problem in-hand.
- Identify and apply various data mining and data analysis techniques to real world data from different industries to generate business insights.
- Implement different functionalities within the various Python libraries like Pandas, NumPy, Seaborn, Matplotlib etc. for data manipulation and analysis purposes.The learner will be able to interpret and visualize the outcome of the various applied techniques.
“Rolai provides contextual upskilling opportunities … on one single platform.”
“An excellent tool for anyone who wants to quickly learn the ropes.”
“Rolai is the best program available for someone looking to enhance their skills”
“Great way to learn data analytics and data science”
“The courses were excellent and covered topics that I didn’t expect”
Rolai’s patented process provides a personalized learning process for each user. Rolai goes deeper than simply learning concepts and testing your skills. At Rolai, learners can apply their skills to actual industry use cases and projects.
Our courses include readings, videos, quizzes, and hands-on data cases that are completed using our virtual lab; give learners an applied learning experience.
No additional tools are needed to begin learning with Rolai. Our virtual lab contains the necessary data workspace and an embedded coding console.
- We have internal SMEs across industries and domains that we work with to develop relevant content and assure quality datasets and problem statements.
- We also work with enterprises and universities to develop new content directed towards their industry and expertise.
