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IIM SKILLS IIM SKILLS is one of the prominent Ed-tech companies in today’s timeline and has been operating since the year 2015. The idea behind the platform originated from a successful education blog that reached more than 1 million people digitally. The main motivation behind the institute is to offer professional career guidance to people aspiring for a successful career. With the mission in mind, IIM SKILLS has remained unwavering in providing world-class education at affordable prices through different live online and self-development courses. Its dedicated faculty continues to strive for quality and identify skill development courses in various domains to present you with the best. Thus, as beginners, you can look forward to their services. The Data Science Master Course is newly introduced to students by IIM SKILLS, among its catalog for industry topics like digital marketing, data analysis, technical writing, content writing, GST practitioner, search engine optimization, business accounting, and taxation. The institute is deemed to be successful because it attempts to impart quality education around the world. Even though the institute has its headquarters in Delhi, its services reach far and wide. It’s well-known among 23 cities across Asia, including Dubai and Singapore.
INTRODUCTION: DATA SCIENCE COURSE The Data Science Master Course at IIM SKILLS has a lot to offer with its careful selection of topics and comprehensive approach to the subject. Right from the start, it delivers more than 300 hours of classroom lectures, over 150 hours of practical assignments, 16+ live projects, 10+ case studies, and 17+ tools that hold great value within the industry. The course provides a master certification that lets you establish yourself as an essential asset to your future company. After course completion, you can take home industry-recognized certificates from Microsoft, Google Cloud, and IIM SKILLS, all of which are downloadable and can be shared online.
COURSE CURRICULUM Foundation to Data Science Understanding Linear algebra Understanding statistics Measures of central tendencies Measures of variance Differences between business analytics, data analytics, and data science Learning structured, unstructured, and semi- structured data Understanding critical success drivers Overview of data analytics tools and their popularity Learning stages of analytics
Data Science using SQL Basics of RDMS concepts Utilising the object explorer Data-based object creation Data manipulation and merging data Data Science with Power BI Introductions Data preparation, modeling, and analysis of expressions Reports development Data Science Using Python Understanding core Python Overview of important libraries Understanding data clearing and transformation Data Visualization with Python Data analysis with Python
R for Data Science Learning to import/export data Learning manipulation, analysis, and visualization with R Understanding linear regression Data Science with Statistics Understanding concepts like random variable, probability, SND, expected value, sampling funnel, sampling variation, confidence interval, and central limit theorem Learning linear regression and logistic regression Data Science with AI and Machine learning (46-hour session) Understanding Hypothesis testing In-depth knowledge of Supervised machine learning In-depth knowledge of Unsupervised machine learning Knowledge of AI deep learning
Q) What are the qualifications for this data science course? IIM SKILLS makes its data science course beginner-friendly while adding a generous amount of professional knowledge. You don’t need to have any prior experience to enroll. However, you must have a background or understanding of analytics or computer science. Q) Can I pursue the data science course online? Yes, IIM SKILLS values your work-life balance and offers you an opportunity to learn from the comfort of your home. Q) What are some skills required for data science jobs? Data scientists need a fair share of technical and soft skills to cut for their desired job role in data science. Some of these are data collection, processing, programming, advanced mathematics, and visualization.
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