This programme focuses on building a strong foundation in research & data analytics for entry-level to mid-level professionals. It will also cover the application of data analytical tools to assist strategic decision-making. The programme leans on practical and conceptual approaches that will be addressed through the sophisticated data analytic software. | It aims at providing a good understanding and a hands-on experience of the application of appropriate data analytic tools that are imperative in making effective decisions. | The programme will give an overview to develop strategies based on the findings from the data, to manage the organization. It will create a working knowledge of the research industry, the role of analytics and its relationship to strategy-building. | The programme has been designed in close consultation with the industry, to prepare entry-level and experienced professionals for a career in research & data analytics. It is set to provide the right base for working in analytical teams, in large corporations and outsourcing companies.
It is necessary to have expert analytics skills to become a high-valued professional in the Analytics & KPO industry. As the industry is evolving fast, professionals need to remain up-to-date with the latest technologies while being proficient in the popular ones. If you have a comprehensive skill set, you can get a chance to work with some of the top organisations in the industry. | This Analytics & Data Science Master Subscription course provides a holistic learning approach to candidates who want to become experts in the IT & Analytics industry. The course provides high-quality learning modules that cover major technologies and tools across multiple domains in the Analytics industry. | Some of the prominent course areas are Big data, Data Science, Machine Learning, Deep Learning, Power BI, Microsoft Excel, Data Modelling & more. | Candidates will have complete access to all the included courses for the whole course duration.
Big Data, Data Science, Machine Learning, Analytics & Data Science, Leadership, Data Analysis
It is necessary to have expert analytics skills to become a high-valued professional in the Analytics & KPO industry. As the industry is evolving fast, professionals need to remain up-to-date with the latest technologies while being proficient in the popular ones. If you have a comprehensive skill set, you can get a chance to work with some of the top organisations in the industry. | This Analytics & Data Science Master Subscription course provides a holistic learning approach to candidates who want to become experts in the IT & Analytics industry. The course provides high-quality learning modules that cover major technologies and tools across multiple domains in the Analytics industry. | Some of the prominent course areas are Big data, Data Science, Machine Learning, Deep Learning, Power BI, Microsoft Excel, Data Modelling & more. | Candidates will have complete access to all the included courses for the whole course duration.
Big Data, Data Science, Machine Learning, Analytics & Data Science, Leadership, Data Analysis
Running a successful online business often requires a good working knowledge of web analytics. On this course, you will explore the basics of analytics, different types of analytics and why they are important for business. You will discover concepts including segmentation and benchmarking and explore five steps to creating a measurement plan.You will also learn the processes involved in creating a successful online business, including measuring objectives, outcomes and continually improving. And finally, you will learn how to apply analytics, looking particularly at Google Analytics.
In the course Introduction to Data Science with Google Analytics: Bridging Business and Technical Experts, candidates can learn how to analyze data to take decisions. The course helps one understand how an organization can shake hands with analytics experts to perceive data better. One will learn nuances of data science through Google Analytics, which is an industry standard. Once can also learn ways to create and use tracking codes, as well as see types of data produced by it. Towards the end of the course, one can develop better practical skills in data science which can be used immediately for further growth in the field of data science.
The Google Analytics Individual Qualification (IQ) is a demonstration of proficiency in Google Analytics. Any individual who has passed the Google Analytics assessment can take this course. Qualified users can leverage Google Analytics IQ alongside their profession and also help others do the same. This assessment can be taken to earn a certification through Academy for Ads, which is Google's online training program.
Simplilearn’s Business Analytics Expert master’s program will provide you with extensive expertise in data analytics. With this Business Analytics Expert course, you will learn to master statistical and analytical tools such as hypothesis testing, clustering, decision trees, data visualization, regression models, data blending, data extracts, R Studio, ad-hoc analytics, heat map, tree map, Waterfall, Pareto, Gantt charts, and forecasting. | Our Business Analytics course will train you to apply statistics and predictive analytics techniques in a business environment, transforming you to become job-ready.
Business Analytics, Data Visualization, Tableau, Marketing, Data Science, Machine Learning
Data is improving the world in many ways, so why shouldn’t it benefit the world of Human Resource Management. This thinking led us, XLRI Jamshedpur and The Second wind (TSW), to formulate this futuristic course, People Analytics. | With this course, you will be able to succeed as an HR professional who has the skills to find solutions and has a deeper understanding of data and people management. It will also describe how people analytics could be used for effective leadership, managing organisational culture and planning interventions.
Certified Web Analytics Masters Course (CWAM) is a great platform for the participants who wish to develop an expertise and masters in Web Analytics. This course allows participants to excel their skills in one of most evolving domains of Digital Marketing viz. Web Analytics.
Digital, Web Analytics, Digital Marketing, Marketing, Advertising, Sales
Business analytics (BA) is the practice of iterative, methodical exploration of an organization's data, with an emphasis on statistical analysis. | This Business Analytics Certification Training with Excel course has been designed specifically to initiate candidates to the world of analytics | It provides extensive training to candidates on MS Excel, one of the most common analytical tools which will help in kick-starting their career in analytics | Designed by some of the experts in the industry, this course provides a holistic learning experience to the candidates with quality learning modules | It covers a plethora of topics like pivot tables, dashboarding, importing functions, and other related areas | Candidates will get a course-completion certification
Training module on Social, Mobile, Analytics and Cloud (SMAC) is best suited for professionals aiming successful career in social media, mobile technology, analytics and cloud computing field. It makes one competent to foster relationship with geographically distant enterprises and provides insight of individual technologies and innovation driven platform resolving issues.
Cloud Computing, , Digital, Big Data, Social media marketing, Marketing
Executive PGDM in Business Analytics is an AICTE approved 15-months programme by Institute of Finance and International Management. The course focuses on offering Business, Analytical, Organizational and Technological knowledge to the participants and helps organizations to drive business decisions from data. Learn via a hybrid model of course delivery, live streaming of lectures and classroom teaching with recorded sessions. You will also be benefitted with the hands-on-experience of working with relevant software from IBM, OpenSource and Microsoft. Classes will be held on Saturdays and alternate Sundays. | Programme Deliverables | Improve your prospects in analytics based management decisions-making | Climb up the growth ladder within your organization | Emerge as a better data analytics professional
Business Analytics, Big Data, Supply chain management, Machine Learning, Marketing, Accounting
Big Data technologies have made it possible for companies to obtain newer and deeper insights into market behavior trends and preferences compared to what traditional analytics provided. With increase in the volume, variety and velocity of data being stored, collectively known as 3Vs, a large number of new data science techniques for carrying out predictive analytics on them have been developed. This program sensitizes participants on how companies can harness the potential of Big Data analytics to make more informed decisions, conduct various activities in radically different ways and create value and business growth. The program enables participants to diagnose business problems captured in structured and unstructured data, conduct in-depth analysis of the external as well as the internal environment and understand how best to generate strategic business insights that leverage Big Data analytics. It introduces participants to Big Data technologies like predictive analytics, information retrieval, Hadoop, MapReduce, etc. The program aims to raise awareness of participants about the challenges of leadership in visioning and managing Big Data projects and creating sustainable impact on a firm’s operations and performance.
Big Data, Data Science, Leadership, Operations, Business Analytics, , Marketing
The PG Program in Business Analytics and Business Intelligence (PGP-BABI), is offered by Great Learning in collaboration with The McCombs School of Business at The University of Texas at Austin and Great Lakes, India. It is a comprehensive Business Analytics Course that covers the latest analytics tools and techniques along with their business applications. The topics are covered in a practical and hands-on manner with real world case studies to enable participants to succeed in business roles using data analytics.
Business Analytics, Tableau, Machine Learning, Data Visualization, Marketing, Retail, Languages
Analytics involves extensive use of data, statistical analysis, predictive modeling, and fact-based organisational culture to drive decisions and actions. The subject of analytics is cross-disciplinary with inputs coming from the subjects of statistics, computing and management. This programme will provide participants with an overview of the concepts and advanced techniques that are currently being used in business as well as give a glimpse of some techniques that have high potential for use in the near future. The sessions will be application oriented with case studies and hands-on sessions to make the participants get a feel of the techniques.