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.
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• 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
• Correlation
• 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
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
Data Science involves extracting valuable insights from large datasets containing structured and unstructured data by applying scientific methods and techniques. It is the process of analyzing data to uncover patterns, make predictions, and drive informed decision-making.
Learning Data Science offers numerous benefits, including:
Data Science welcomes individuals from diverse backgrounds, whether they are newcomers or professionals. Engineers, marketing professionals, software and IT professionals have the opportunity to pursue part-time or external programs in Data Science. Regular courses in data science usually require a minimum proficiency in basic high school level subjects.
The Data Science Course Fee may vary depending on the level of training. Generally, for classroom training, the fee can range from 1000 USD to 3000 USD.
After learning Data Science, you can pursue various data science job roles, including:
To excel in data science, it is beneficial to have technical skills such as data analysis, statistical knowledge, data storytelling, communication, and problem-solving abilities.
The duration of a data science course can vary, typically ranging from 2 months to 1 year. The specific duration depends on factors such as the depth of the subject matter and the syllabus designed for various branches within the field of Data Science.
Having a strong understanding of programming languages like Python, R, Excel, C++, Java, and SQL is preferred. However, beginners can start from the basics and gradually improve their programming skills.
Like any field, Data Science can be easy to learn with proper guidance and dedication. However, due to its vastness, beginners may sometimes find it overwhelming and challenging to navigate. With the right resources and support, the learning experience can become more manageable and rewarding.
Some widely used tools in Data Science include SAS, Apache Hadoop, Tableau, BigML, Knime, RapidMiner, Excel, Apache Flink, and Power BI.
As predicted by IDC, the volume of global data is expected to reach an astounding 175 zettabytes by 2025. The field of Data Science is instrumental in assisting organizations in effectively processing and extracting meaningful insights from extensive datasets obtained from diverse sources. Its applications are prevalent across multiple industries such as marketing, healthcare, finance, banking, policy work, and others. This emphasizes the crucial role of data science in facilitating intelligent decision-making based on data analysis.
Yes, freshers can pursue a Data Science course and secure employment opportunities. In fact, many companies hire freshers for data scientist jobs, particularly in entry-level analytics jobs in India. These positions often do not require specialization or post-graduation. Instead, companies look for candidates with an Engineering Degree, regardless of the specific stream. Key factors that companies consider during the hiring process include aptitude, communication skills, and critical reasoning abilities.
Certainly, it is possible to transition from a mechanical background to a career in data science. Although a mechanical engineering background may not directly align with data science, it equips individuals with essential skills such as mathematics, problem-solving, and analytical thinking, which are highly valuable in the field of data science.
Yes, it is feasible to transition from a non-coding background to a data science background. While prior coding experience can be advantageous, it is not a strict prerequisite for entering the field of data science. Many individuals with non-coding backgrounds have successfully made the switch and pursued rewarding careers in data science.
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.
DataMites offers the following courses for senior managers and business owners:
Absolutely, DataMites will issue you a course completion certificate after you finish the course.
To enroll in Data Science for Managers Courses, it is beneficial to have a basic understanding of working in the data science domain. Knowledge of statistics and mathematics and their relevance in data science is also important. Additionally, having experience in a decision-making role is advantageous.
The Data Science for Managers Course is suitable for:
Yes, you are required to bring a photo ID proof such as a national ID card or driving license for issuing a participation certificate and booking the certification exam, if necessary.
To excel in data science, it is beneficial to have technical skills such as data analysis, statistical knowledge, data storytelling, communication, and problem-solving abilities.
The DataMites Data Science for Managers Program has a training duration of 1 month.
Yes, DataMites offers classroom training, but currently only in Bangalore. However, they may arrange training in other locations based on demand and the availability of other candidates from those locations.
DataMites is committed to providing instructors who have extensive industry experience, relevant qualifications, certifications, and in-depth knowledge of the subject matter. The trainers are carefully selected to ensure top-notch instruction tailored to your needs.
The Flexi-Pass option for Data Science for Managers Training allows you to attend sessions at DataMites for a period of 3 months, providing flexibility for addressing any queries or revisiting topics as needed.
If you miss a session, simply contact your trainers to schedule a makeup class according to your availability. For online training, all sessions are recorded and uploaded, allowing you to catch up at your own pace and convenience.
Yes, DataMites provides a free demo class to give you a preview of the training and an overview of what will be covered.
Yes, DataMites has a dedicated Placement Assistance Team (PAT) that provides placement support after you complete the course.
DataMites adopts a case study approach to learning, where theory is followed by hands-on practice, case studies, project work, and finally, model deployment.
Certainly, you can request support sessions if you require further clarification on any topic. DataMites aims to ensure that you make the most out of your training sessions.
A: DataMites accepts payments via cash, net banking, cheque, debit card, credit card, PayPal, Visa, Mastercard, and American Express.
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.