Great Learning Free Courses Data Science Free Data Analytics Course Introduction to Analytics 4.51 Beginner level 3.0 learning hrs 84.9K+ Learners Enroll in our free Data Analytics course and learn Descriptive, Diagnostic, Predictive, and Prescriptive Analytics in detail. Instructor: Mr. Rounak Dholakia Key Highlights Get free course content Master in-demand skills & tools Test your skills with quizzes About this course This introduction to analytics course covers the fundamentals of analytics, including Business Analytics. Business Analytics is the practice of analyzing data to make data-driven decisions in a business context. One example of this is Amazon Recommendation, where data is used to recommend products to customers. The spectrum of analytics is divided into four categories: descriptive, diagnostic, predictive, and prescriptive analytics. Descriptive analytics describes what happened in the past, while diagnostic analytics helps to identify why it happened. Predictive analytics uses data to predict what might happen in the future, and prescriptive analytics recommends actions to achieve a specific outcome. Check out our PG Course in Machine learning Today. Course outline What is Business Analytics This module introduces business analytics, defining its role and importance in transforming data into actionable insights for strategic business decisions. Examples of Data Analytics This module covers real-world examples of analytics, such as the Amazon recommendation system, to illustrate practical applications of data-driven decision-making. What Constitutes Analytics This module focuses on the core components of analytics, breaking down the essential elements that form the foundation of any analytical process. Amazon Recommendation This module explores the mechanics behind recommendation systems, using the Amazon model to detail how data is used to predict customer preferences. Spectrum of Analytics This module teaches the spectrum of analytics, differentiating between descriptive, diagnostic, predictive, and prescriptive analytics and their applications. Descriptive Analytics This module covers descriptive analytics, explaining how to use historical data to understand what has happened in the past. Diagnostic, Predictive and Prescriptive Analytics This module focuses on advanced analytics, detailing how to identify causes, predict future outcomes, and recommend optimal actions. Data Science vs. Data Analytics This module clarifies the distinction between Data Science and Data Analytics, outlining the unique focus and skill sets of each field. Data Analytics using ChatGPT with Excel and Python New This module introduces modern tools, demonstrating how to leverage ChatGPT, Excel, and Python for practical data analytics tasks. View More Get access to the complete curriculum once you enroll in the course View Full Course Stand out with an industry-recognized certificate Start learning 10,000+ certificates claimed, get yours today! Get noticed by top recruiters Share on professional channels Globally recognised Land your dream job Introduction to Analytics 4.51 3.0 Hours Beginner Sign up with Email 84.9K+ learners enrolled so far Get free course content Master in-demand skills & tools Test your skills with quizzes Level up with advanced skills & become job ready with Pro+ Subscribe to Pro+ today to build skills with 50+ Pro courses and prep for jobs with advanced AI tools. PRO Web and Digital Analytics Essentials 1 project 9 hrs video content Practice exercises Guided Projects AI Resume Builder AI mock interviews Start 7-Day Free Trial Get course + certificate with Pro+ subscription Trusted by 10 Million+ Learners globally 4.8 4.89 4.94 4.7 Learner reviews of the Free Courses 4.51 ★★★★ ★ ☆ ★★★★★ 70% ★★★★ ☆ 21% ★★★ ☆☆ 6% ★★ ☆☆☆ 1% ★ ☆☆☆☆ 2% Adaugo Nwawuba 5.0 ★★★★ ★ I have been searching for courses that give insight into data analytics because I'm trying to decide what career is best for me I found this platform after doing some research, and I can say that I will be taking more courses here to expand my knowledge. The course was easy to follow, and the instructor explained the concepts in the most basic form, which for me shows the depth of knowledge the instructor has. I'm happy I took the course and I look forward to more learning opportunities. Read more Mujahid Ahmad 5.0 ★★★★ ★ Feedback about Data Analytics Course The Data Analytics course provided an excellent overview of key data analysis concepts and techniques. It was structured in a way that catered to both beginners and those with some experience, gradually building on concepts from the basics to more advanced analytics methods. The combination of theoretical lessons with practical case studies and hands-on exercises made the course engaging and highly valuable. Strengths: Comprehensive Curriculum: The course covered a wide range of topics, from data cleaning, analysis, and interpretation to more advanced statistical methods and machine learning basics. This ensured a well-rounded understanding of data analytics. Hands-On Approach: The use of real-world datasets for projects and exercises allowed for practical application of the concepts taught. This not only helped in solidifying the theoretical knowledge but also in developing problem-solving skills. Step-by-Step Progression: The course was structured in a way that each module built on the previous one, making the learning curve manageable for students at all levels. This progression made complex topics more digestible. Variety of Tools: The course introduced various tools commonly used in the industry, such as Python, Excel, SQL, and sometimes even visualization tools like Power BI or Tableau. This exposure to multiple tools made the learning experience versatile. Supportive Learning Environment: The availability of forums, group discussions, and instructor support added to the value of the course. The feedback on assignments was constructive and helpful in improving one’s skills. Read more Melrose Delos Reyes 5.0 ★★★★ ★ Easy to Follow Course Module The lessons were easy to follow, and the subject of data analytics was presented in a way I could understand. Read more Sherifdeen Olamilekan Babalola 5.0 ★★★★ ★ Comprehensive and Well-Structured Course I was able to actively follow and understand the course. The use of multimedia content made it easier to comprehend. Read more Marlon JACOB, ST., MSc., M.Ling 5.0 ★★★★ ★ The Best Learning Experience I Have Ever Had The way the materials were presented and the structure of the content were excellent. Read more hillary odongo 5.0 ★★★★ ★ It is a Wonderful Experience in the Analytics World The way the curriculum is designed is perfect. The instructor gives very clear explanations that make you understand the concepts better, which motivates the learner. The questions are well set to help understand all the learned concepts. Read more Vishal Randhawa 5.0 ★★★★ ★ An Engaging and Well-Structured Learning Experience I thoroughly enjoyed the course as it offered a comprehensive and structured approach to analytics. The curriculum was well-designed, covering all essential topics in depth. The quizzes and assignments were challenging yet engaging, allowing me to test my understanding. The instructors explained complex concepts in a simplified manner, making the course easy to follow. Overall, it was an excellent experience that enhanced my analytical skills. Read more oksovpwm Hassan 5.0 ★★★★ ★ Engaging and Comprehensive Learning Experience I thoroughly enjoyed the course, especially the well-structured curriculum and in-depth topic coverage. The instructor was clear, and the quizzes and assignments reinforced my learning effectively. The combination of practical tools and theoretical knowledge made the content easy to follow and apply. Overall, a great learning journey! Read more MANSI GUPTA 5.0 ★★★★ ★ Clear Understanding Between Data Analyst and Data Scientist It was easy to follow and understand. The descriptive videos really helped in better understanding. Read more Shaik Numan 5.0 ★★★★ ★ Engaging Learning Experience is Good I found the curriculum to be well-structured and informative, covering the topic in depth. The instructor's explanations were clear and engaging, making the content easy to follow. I also appreciated the quizzes and assignments, which helped reinforce my understanding of the material. Read more What our learners enjoyed the most Easy to Follow 60% 60% of learners found the course easy to follow Our course instructor Mr. Rounak Dholakia Academic Operations Head (PGP DSBA) Data Science Expert 114.7K+ Learners 3 Courses He currently heads the academic operations for PGP DSBA. Mr Rounak is a seasoned analytics practitioner with 10+ years of experience in providing analytical solutions to Fortune 500 clients across different industry vertical – banking, retail, CPG and pharmacy retail. Read More Become a Skilled Professional with Pro Courses Gain work-ready skills with guided projects, top faculty and AI tools, all at an affordable price. 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