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Quantitative Analyst
This learning track provides hands-on application of Statistical Analysis, Hypothesis Testing, Data Handling, Data Transformations, and Data Visualizations for variety of data. The track also provides the understanding of the basic concepts of Time Series Analysis, Network Flow, Optimization Problems and Operation Research.
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13 Courses
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11 Projects & Case Studies
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Difficulty: Intermediate
Foundational education or some experience is recommended
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Duration: Approximately 7 months
Suggested learning pace is 5hr/week
Course Overview
- Learn various Data Aggregation and Data Transformation techniques to convert raw data into a suitable format which leads to improved predictive modeling.
- Learn various data visualization and data mining techniques to extract detailed information from any dataset and understand and apply statistical hypothesis testing methods to infer different conclusions from a dataset.
- Learn the concepts and various techniques for Time Series Analysis and Time Series Forecasting.
- Learn about the different types of optimization problems and mathematical techniques to solve them using Linear Programming, Mixed-Integer Programming, along with a detailed study of specialized optimization problems like Knapsack, Travelling Salesman and Assignment problems.
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
- Fundamentals of Data Analytics
- Introduction to ANOVA
- Fundamentals of Data Pre-processing
- Basic Data Visualization Methods- I
- Data Mining Concepts and Techniques
- Advanced Feature Engineering technique
- Data Transformation
- Data Aggregation
- Fundamentals of Time Series Analysis
- Introduction to Optimization Techniques
- Optimization Techniques – Specialized Optimization Problems
- Optimization Techniques – Network Flow Problems
- Analyzing Student Marks – Hypothesis Testing
- Hypothesis Testing to Analyze Factors Affecting Parliamentary Attendance
- Hypothesis testing on Vehicle features for an online reseller of used car
- Exploratory Data Analysis on Vehicle Crash data & Fatalities
- Analyzing Wireless Data Speed Across Different Regions
- Identify the Top Performing Players in a Domestic Cricket League – Application of Descriptive
- Detecting Credit Card Fraud – Feature Engineering Techniques
- Cleaning & treating – HR attrition case study
- Analyzing and Predicting the Productivity Performance of Manufacturing Industry Workers
- Forecasting Vehicle Registration for Sales Trends on Monthly basis
- Forecasting Average Revenue Per User (ARPU) for a Telecom Client
- Fantasy Cricket Team Creation – Application of Linear Programming
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, resume, and LinkedIn as you showcase your skills and project experience to employers and colleagues.
- Understand and apply various techniques of Data Transformation, Data Aggregation, Data Mining, Feature engineering and Hypothesis Testing.
- Understand and apply various concepts of time series analysis, covering data visualization, smoothing techniques, stationary analysis, autocorrelation analysis and time series modelling to real world data from various industries to generate business insights.
- Develop a comprehensive understanding of optimization problems and apply a variety of techniques like Linear Programming, and Mixed-Integer Programming to solve specialized problems and generate business insights.
- 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.
