Learn how to develop the in-demand skills and knowledge needed to analyze data and drive decision making. Course Objectives: By getting hold of the necessary skill you will be able to solve the real-world problems by analyzing the data and coming to a calculative conclusion. Offered by IBM. This Data Scientist course lets you master skills, such as data analytics, R programming, statistical computing, Machine Learning algorithms, k-means clustering, and more. Practical in approach, and in-depth in content, the Data & Marketing Analytics Program, is one of its kind offering in the market right now. This course explores how to interpret your data allowing you to effectively decide which chart type you should use to visualize and convey your data analytics. Data science is one of the hottest professions of the decade, and the demand for data scientists who can analyze data and communicate results to inform data driven decisions has never been greater. In this hands-on Introduction to Big Data Course, learn to leverage big data analysis tools and techniques to foster better business decision-making – before you get into specific products like Hadoop training (just to name one). The Data Science courses provided by upGrad will make you industry-ready. This course will take a detailed look at the opportunities, challenges and specific requirements for petroleum data analytics for the energy industry. Date Topic Assign./Presentations Mar 14, 2013 Introduction to data analytics (DA), data preparation, and data cleaning. In 2014, he was named the Digital Analytics Industry's Most Influential Contributor by the Digital Analytics Association. If you're someone who wants to make data driven decisions or work with various types of data to conduct analyses, or is interested in becoming an data analyst, this program is ideal for you, because you'll learn applied statistics, data wrangling with Python, and data visualization with Matplotlib, which will enable you to work with any data set and find and showcase meaningful insights. You are responsible for learning both the tutorial content and the skills acquired through practice. Companies worldwide are using Python to harvest insights from their data and gain a competitive edge. Data analytics is the science of analyzing raw data in order to make conclusions about that information. Outcome of the Course: On completion of the Course, the Participants will learn the concept of Data Analytics using open source statistical tools like R, Python and some very good visualization tools and techniques. This Professional Certificate from IBM will help anyone interested in pursuing a career in data science or machine learning develop career-relevant skills and experience. Big Data Analytics Training Overview. Data Analytics Training course at Edureka helps you gain expertise on the most popular Analytics tool - R. In this Data Analytics with R Certification, you will learn Data Manipulation, Data Visualization, Regression, Predictive Analytics, Data Mining, Sentiment Analysis using R on Edureka's CloudLab. Programs Langara College offers two Data Analytics programs. In-depth knowledge in R: R is used for data analysis, as a programming language, as an environment for statistical analysis, data visualization Python coding: Python is majorly preferred to implement mathematical models and concepts because python has rich libraries/packages to build and deploy models. Python is a general-purpose programming language that is becoming ever more popular for data science. Apply Now. Course Structure. Tentative Course Outline Please note: We will only cover a portion of many of the chapters listed below. This Data Science course produces specialist Data Scientists who can design and implement computer-analytics and visualisation solutions for industry. Over the course of seven weeks, you will take your data analytics skills to the next level as you learn the theory and practice behind recommendation engines, regressions, network and graphical modeling, anomaly detection, hypothesis testing, machine learning, and big data analytics. The programme provides placement opportunities and of the two batches who graduated so far, 100% of the students are placed. Contact us. Develop 5 interactive dashboards and showcase them online to create a … Course Content (Rating 3.6): The Business Analytics course by EduPristine offers data mining, predictive modeling, predictive analytics, logistic regression, tools like R and Excel, etc. This is the course for you if you need to work with statistical or data-related concepts as part of your role. CSCI E-63 Big Data Analytics (24038) 2017 Spring term (4 credits) Zoran B. Djordjević, PhD, Senior Enterprise Architect, NTT Data, Inc. Lectures: Fridays starting on January 27 th, 2017, from 5:30 to 7:30 PM (EST), 1 Story Street, Room. Please note this list is indicative of the structure of the degree and may be subject to change. The listings below may include sponsored content but are popular choices among our users. Business, Business Intelligence, Data Analytics, Data Science, Tableau, Tableau 2021, Visualization Kickstart your Data Analytics Career with Tableau by solving Realistic Analytics Projects. Tools. He publishes the blog Analytics Talk and has authored or co-authored three books on Google Analytics. Module 1 Become a Data Analyst now! Course content is very well designed meeting the demands of industry and covering statistics, data science tools and techniques, applications in functional areas. Learn about data analytics with python. Apply Now. Course Content. Optional Online Sections: Saturdays, starting January 28 th, 2017 at 10-11:30 AM (EST). You’ll learn to use analytics to improve your lesson plans and your delivery of those plans, and discover more about your students' learning. We aim to provide unmatchable data science and analytics skills to turn you into a complete and accomplished analyst. 306, Cambridge, MA. Economics, Data Analytics and Corporate Finance Master. The program encouraged me to utilize my previous experience while exploring real life business scenarios for the application of analytics. store, and process data, creating an even stronger motivation for the use of empirical approaches to problem solving. Unlike other Python tutorials, this course focuses on Python specifically for data … Justin is an active participant in the digital analytics community. Using the correct visualization techniques allows you to gain the most from your data. For analyzing and processing the Data at maximum speed. Learn Data Visualisation! Course Description. Download the brochure. Since the course is self-paced, the amount of time required to complete the course will vary from student to student. Data Analytics I is designed as a semester length course (3 credit hours). The focus of this five-day instructor-led course is on creating managed enterprise BI solutions. COURSE CONTENT. Previous delegates include: Marketing Analyst (SAGE Publications) Many of the techniques and processes of data analytics … Contact us. Year 1 (70 ECTS) Period 1 (Sept-Dec) Syllabus: Data Analytics & Big Data At the end of the pr ogr am, you will have a p r of e s siona l portfol io of projects and real experience with data analy sis that will give y ou th e necessa ry confi dence to be successful as a Data A naly st. This course is designed for marketers wanting a better understanding of analytical techniques. ... this free online course takes you through the fundamentals of data analytics with python programming language. Its mathematical content will require a reasonable level of numeracy. Global Big Data market to reach $122B in revenue by 2025 – Frost & Sullivan The US alone could face a shortage of 1.4 -1.9 million Big Data Analysts by 2018 – Mckinsey Course Content Module /Topic Introduction to Data Science and Statistical Analytics Introduction to Data Science Use cases Our training courses in Data Science cover topics in Data Analytics for Beginners and Advanced Users. Data Analytics Masters program by Edureka offers a comprehensive Data Analyst Program which covers key concepts like Statistics, Data Analytics with R, SAS and Tableau. Professional Certificate In Data Science. Big data Analytics Course Syllabus (Content/ Outline): The literal meaning of ‘Big Data’ seems to have developed a myopic understanding in the minds of aspiring big data enthusiasts.When asked people about Big Data, all they know is, ‘It is referred to as massive collection of data which cannot be used for computations unless supplied operated with some unconventional ways’. Course Overview The impact of digitization has profoundly affected the energy industry including oil and gas (digital oilfield) supply chains and utilities (smart grids). Mar 21, 2013 Data types and measures of similarity Assignment 1 Mar 28, 2013 Data Preprocessing and numerosity reduction This Data Science masters program includes real life project, 24x7 technical support and lifetime online access to course material. The course will then focus on the school teacher, and how data analytics can help you to make improvements in your classroom. They will be able to implement industry oriented Data Analytics Project. This course contains total six modules. Download the brochure. Upon successful completion of each Unit, you will It describes how to implement multidimensional and tabular data models, deliver reports with Microsoft® SQL Server® Reporting Services, create dashboards with Microsoft SharePoint Server PerformancePoint Services, and discover business insights by using data mining. Big Data Analytics course will give the necessary skills to deploy different analytical tools and techniques to work on Big Data and Hadoop. It includes multiple hands-on exercises and project work in the domains of banking, finance, entertainment, etc. This course is: • Easy to understand • Hit the bull’s eye • Extensive By the end of this course you will understand the inner workings of the data analytics pipeline- from joining, filtering, extracting data to developing interactive dashboards for your clients. This Big Data Analytics training includes managing, storing and processing of Big Data, as well as analytics layer. 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