Given the cut-throat competition, Data-driven decision making has become the most important aspect of managers and decision-makers in the current business landscape. As per the recent study, more than 70% of the managers lack the skills required for making data-driven decisions, creating a high demand for managers with data science skills.
Data is everywhere and is found in all the levels in an organization. Every individual is exposed to data. However, its use varies at various levels. Different departments use data in different ways. You embrace different roles in career and business, be it as a Manager, a Team Leader, or even an Entrepreneur. The knowledge of Data Science is essential for all roles, wherein decision making happens to play a bigger part.
Data Science for Managers concerns with the incorporation of Data Science into activities on a senior level. The Data Science for Managers course is meant for those who more often come across responsibilities, which involve decision making, that is data-driven. The certification accredited by IABAC has global recognition.
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Data Science skills are in big demand, every present-day organization seeks individuals who can leverage the potential of data, for making important decisions. The Data Science for Managers course mainly concentrates on the tools and techniques needed to analyze the data of a business and derive insights from them and use them to make further business decisions.
After learning the Data Science for Managers course, a candidate will be well equipped with the following:-
Data is everywhere, all the present-day businesses largely depend upon data, this is because data becomes the focal point for all the business decisions to be taken. A business always works in close association with Customers and Vendors, therefore the information pertaining to both, becomes data for the company. Based on the customer purchasing behavior a company can decide what to offer them. This is possible only with an analysis of the customer data.
Data Science for Managers course is designed for those who are involved in decision making roles. Some of the prerequisites required for the Data Science for Managers course are:-
DataMites is an authorized institute by the International Association of Business Analytics Certifications (IABAC™) providing global data science certification courses
• What Is Data Science?
• Data Science Evolution
• Data Science Vs Big Data
• Data Science Vs Business Analytics
• Machine Learning Powering Data Science
• Descriptive And Inferential Statistics
• Types Of Data And Terminologies
• Data Sampling Methods
• Exploratory Data Analysis
• Central Tendencies And Variability
• Normal Distribution, Histogram
• Z-score, Outliers, Empherical Rule
• Machine Learning Introduction
• Type Of Machine Learning
• Introduction To Neural Networks
• Deep Learning
• Computer Vision
• Natural Language Processing (NLP)
• Project Use Case
• Project Workflow
• Data Preparation
• Modeling And Evaluation
• Model Deployment
• Data Science Applications Across Industries : Case Studies
• Various Roles In Data Science
• Jobs And Careers
• The Future Of Data Science: Business Perspective
The trainers for the Data Science for Managers course are experienced Data Scientists, who possess a good amount of knowledge in the subject matter.
No. Coding is not required to learn Data Science for Managers course.
DataMites™ provides flexible learning options from traditional classroom training, the latest virtual live classroom to distance course. Based on your location preference, you may have one or more learning options
This course is perfectly aligned to the current industry requirements and gives exposure to all the latest techniques and tools. The course curriculum is designed by specialists in this field and monitored and improved by industry practitioners on a continual basis.
All certificates can be validated with your unique certification number at IABAC.org portal. You also get candidate login at exam.iabac.org, where you can find your test results and other relevant validation details.
The results of the Exam are immediate if you take an online test at exam.iabac.org portal. The certificate issuance, as per IABAC™ terms, takes about 7-10 business days for e-certificate.
No, the exam fees are already included in the course fee and you will not be charged extra.
Course fee needs to be paid in one payment as it is required to block your seat for the entire course as well as book the certification exams with IABAC™. In case, if you have any specific constraints, your relation manager at DataMites™ shall assist you with part payment agreements
DataMites™ has a dedicated Placement Assistance Team(PAT), who work with candidates on an individual basis in assisting for the right Data Science job.
You get a 100% refund training fee if the training is not to your satisfaction but the exam fee will not be refunded as we pay to accreditation bodies. If the refund is due to your availability concerns, you may need to talk to the relationship manager and will be sorted out on case to case basis
DataMites™ provides loads of study materials, cheat sheets, data sets, videos so that you can learn and practice extensively. Along with study materials, you will get materials on job interviews, new letters with the latest information on Data Science as well as job updates.
The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -
The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.
No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.
The course covers Machine Learning, Deep Learning, AI, Big Data, AWS, Python/R, Statistics, Business aspects & Tableau.
Course covers Python Programming, Data Science Packages Numpy, Pandas, sklearn, scipy, matplotlib
Course covers Essential Statistics For Data Science, Hypothesis Testing and Exploratory Analysis
Course covers AI Programming, Data Science packages Numpy, Pandas, sklearn, scipy, matplotlib
Course covers Data Science overview, Basics of Statistics, Machine Learning, Use cases
Course covers Neural Networks with Tensorflow, Tensor Board, Deep Leaning concepts