Distance Learning Data Scientist MasterClass Program

The Data Scientist Master’s Program co-developed with IBM encourages you to master skills including statistics, hypothesis testing, data mining, clustering, decision trees, linear and logistic regression, data wrangling, data visualization, regression models, Hadoop, Spark, PROC SQL, SAS Macros, recommendation engine, supervised ,and unsupervised learning and more.

This Data Scientist Master’s Program covers extensive Data Science training, combining online instructor-led classes and self-paced learning co-developed with IBM. The program concludes with a capstone project designed to reinforce the learning by building a real industry product encompassing all the key aspects learned throughout the program. The skills focused on in this program will help prepare you for the role of a Data Scientist.

Includes: 7 Courses, 2 Electives Modules, Virtual Live Classroom Courses, Self-Paced Study, 15 Capstone Projects, Assessment & Certification

Duration: 3-4 Weeks (Based on part time study)

Global Access: Virtual Live Classroom Courses available in multiple time zones weekday & weekend

Instant Access Enrolment

Price: £ 2,125

or
4 Interest Free Easy Instalments of  £ 531.25

A Data scientist is the top ranking professional in any analytics organization. Glassdoor ranks Data Scientists first in the 25 Best Jobs for 2019. In today’s market, Data Scientists are scarce and in demand. As a Data Scientist, you are required to understand the business problem, design a data analysis strategy, collect and format the required data, apply algorithms or techniques using the correct tools, and make recommendations backed by data.

  • Gain an in-depth understanding of data structure and data manipulation
  • Understand and use linear and non-linear regression models and classification techniques for data analysis
  • Obtain an in-depth understanding of supervised and unsupervised learning models such as linear regression, logistic regression, clustering, dimensionality reduction, K-NN, and pipeline
  • Perform scientific and technical computing using the SciPy package and its sub-packages such as Integrate, Optimize, Statistics, IO, and Weave
  • Gain expertise in mathematical computing using the NumPy and Scikit-Learn packages
  • Understand the different components of the Hadoop ecosystem
  • Learn to work with HBase, its architecture, and data storage, learning the difference between HBase and RDBMS, and use Hive and Impala for partitioning
  • Understand MapReduce and its characteristics, plus learn how to ingest data using Sqoop and Flume
  • Master the concepts of recommendation engine and time series modeling and gain practical mastery over principles, algorithms, and applications of machine learning
  • Learn to analyze data using Tableau and become proficient in building interactive dashboards

This Data Scientist Master’s program includes 15+ real-life, industry-based projects on different domains to help you master concepts of Data Science and Big Data. A few of the projects that you will be working on are mentioned below:

Capstone Project:

Description: You will go through dedicated mentor classes in order to create a high-quality industry project, solving a real-world problem leveraging the skills and technologies learnt throughout the program. The capstone project will cover all the key aspects of data extraction, cleaning, and visualisation to model building and tuning. You also get the option of choosing the domain/industry dataset you to want to work on from the options available.
After successful submission of the project, you will be awarded a capstone certificate that can be showcased to potential employers as a testament to your learning.

Project 1: Products rating prediction for Amazon

Amazon, one of the leading US-based e-commerce companies, recommends products within the same category to customers based on their activity and reviews on other similar products. Amazon would like to improve this recommendation engine by predicting ratings for the non-rated products and add them to recommendations accordingly.

Domain: E-commerce

Project 2: Improving customer experience for Comcast

Domain: Telecom

Description: Comcast, one of the leading US-based global telecommunication companies wants to improve customer experience by identifying and acting on problem areas that lower customer satisfaction, if any. The company is also looking for key recommendations that can be implemented to deliver the best customer experience.

Project 3: Attrition Analysis for IBM

Domain: Workforce Analytics

Description: IBM, one of the leading US-based IT companies, would like to identify the factors that influence attrition of employees. Based on the parameters identified, the company would also like to build a logistics regression model that can help predict if an employee will churn or not.

Project 4: Predict accurate sales for 45 stores of Walmart, one of the leading US-based leading retail stores, considering the impact of promotional markdown events. Check if macroeconomic factors like CPI, unemployment rate, etc. have an impact on sales.

Domain: Retail

Description: Walmart runs several promotional markdown events throughout the year. The markdowns precede prominent holidays, such as the Super Bowl, Labour Day, Thanksgiving, and Christmas. The weeks including these holidays are weighted five times higher in valuation than non-holiday weeks. The business is facing a challenge due to unforeseen demand, resulting in stocks running out at times due to inaccurate demand estimation. The macroeconomic factors like CPI, Unemployment Index, etc. also play an important role in predicting the demand, but the business hasn’t been able to leverage these factors yet. As a part of this project, create a model to highlight the effects of markdowns on holiday weeks.

Project 5: Learn how leading Healthcare industry leaders make use of Data Science to leverage their business.

Domain: HealthCare

Description: Predictive analytics can be used in healthcare to mediate hospital readmissions. In healthcare and other industries, predictors are most useful when they can be brought into action. However, historical and real-time data alone are worthless without intervention. More importantly, to judge the efficiency and value of forecasting a trend and ultimately changing behavior, both the predictor and the intervention must be integrated back into the same system and workflow where the trend originally occurred.

Project 6: Understand how the Insurance leaders like Berkshire Hathaway, AIG, AXA, etc. make use of Data Science by working on a real-life project based on Insurance.

Domain: Insurance

Description: use of predictive analytics has increased greatly in insurance businesses, especially for the biggest companies, according to the 2013 Insurance Predictive Modeling Survey. While the survey showed an increase in predictive modeling throughout the industry, all the respondents from companies that write over $1 billion in personal insurance employ predictive modeling, compared to 69% of companies with less than that amount of premium.

Project 7: See how banks like Citigroup, Bank of America, ICICI, HDFC, etc. make use of Data Science to stay ahead of the competition. 

Domain: Banking

Description: A Portuguese banking institution ran a marketing campaign to convince potential customers to invest in a bank term deposit. its marketing campaigns were conducted through phone calls, and sometimes the same customer was contacted more than once. Your job is to analyze the data collected from the marketing campaign.

Project 8: Learn how Stock Markets, such as NASDAQ, NSE, and BSE leverage Data Science and Analytics to arrive at a consumable data from complex datasets.

Domain: Stock Market

Description: You need to import data using Yahoo data reader of the following companies: Yahoo, Apple, Amazon, Microsoft, and Google. perform fundamental analytics including plotting closing price, plotting stock trade by volume, performing daily return analysis, and using pair plot to show the correlation between all the stocks.

Project 9: See how Data Science is used in the field of engineering by taking up this case study of MovieLens Dataset Analysis.

Domain: Engineering

Description: The GroupLens Research Project is a research group in the Department of Computer Science and Engineering at the University of Minnesota. The researchers of this group are involved in many research projects related to the fields of information filtering, collaborative filtering, and recommender systems.

Project 10: Understand how leading retail companies like Walmart, Amazon, Target, etc. make use of Data Science to analyze and optimize their product placements and inventory.

Domain: Retail

Description: Analytics is used in optimizing product placements on shelves or optimization of inventory to be kept in the warehouses using industry examples. Through this project, participants learn the daily cycle of product optimization from the shelves to the warehouse. This gives them insights into regular occurrences in the retail sector.

The Data Science role requires an amalgam of experience, data science knowledge, and correct tools and technologies. It is a solid career choice for both new and experienced professionals. Aspiring professionals of any educational background with an analytical frame of mind are most suited to pursue the Data Scientist Master’s Program, including:

  • IT Professionals
  • Analytics Managers
  • Business Analysts
  • Banking and Finance Professionals
  • Marketing Managers
  • Supply Chain Network Managers
  • Beginners or Recent Graduates in Bachelors or Master’s Degree

The Data Science Masterclass Program includes a combination of:

  • Flexi Learning  – Access to Live Classroom Session Weekdays & Weekends
  • Self-Paced Study
  • Capstone Projects
  • Assessments
  • 24 Hour Support
  •  A Structures Learning Path
  •  Certification

Once you enrol for the course you will receive a link giving you access the Learning Management Systems.

You will then be able to review each module in the leaning path and start to plan your study time and book your Live Class room session.

All of the project based session have virtual lab access setup will all software and tools pre installed.

Help is available 24/7 should you require any assistance.

Upon completion of the following minimum requirements, you will be eligible to receive the Data Scientist Master’s Program certificate that will testify to your skills as an expert in Data Science.

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Why Acumen Envision?

Super Creative

We don't believe in traditional & acceptable We do believe in Creative, Engaging & Sticky. People are not the same, the way they learn is not the same so a program has to engage all mindsets. We use a complex mix of engaging tools combined first class classroom delivery, and continuous measurement to ensure we produce true mindset and behavioural change.

Skilled Instructors

Without our highly skilled training team all of the pre-course consultancy and technology custmisation would just not work. The wealth of experience and real world scenarios that they bring to each classroom module enhances the discussion, engagement and overall delivery. So whether your people are attending a Sales, Leadership or Technlogy program they will receive top level classroom tuition as part of their overall Learning Program.

Global Reach

The world is ever changing and the way we work now has changed dramatically. Most of the audiences we train now have an element of remote people and in some cases remote means on the other side of the globe. We are very good and bringing those people together so your whole working family can be trained together, so regardless of the challenges you may face with your audience we will provide an intelligent solution so that remote and distance do not effect the effectiveness of your program.
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