Nursery
Giggle Tots Day Nursery
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Giggle Tots Day Nursery
- Nursery
- Waltham Forest E11 1AQ
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Ofsted report
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| The quality of education | Good |
| Behaviour and attitudes | Good |
| Personal development | Good |
| Leadership and management | Good |
| Overall effectiveness at previous inspection | Inadequate |
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Indoor and Outdoor Facilities: Risk assessments are robust to ensure children's safety indoors and outdoors.
Activities: Staff provide a varied and interesting curriculum inside and outdoors.
Skills , Knowledge and Behavior: Children eagerly learn about simple mathematical concepts and follow adult instructions well.
Communication: Members of the leadership team work hard to share their vision for the future with staff and parents.
Programs and Resources: Children learn to use simple sign language as a visual means of communicating using gestures and facial expressions.
Welcoming and Professional Staff: Young babies have strong, caring relationships with staff and are happy and secure.
Safeguarding Training: All staff are knowledgeable about the signs that may indicate children are at risk of harm.
Play and Learning Integration: Children enjoy active play outside; they run, climb and extend their physical skills well.
Transition to Primary School: Staff provide a good range of learning opportunities that help children make sense of the world.
Child Safety Management: Staff now deployed effectively to ensure children's safety and other needs are met well.
Children's Safety and Security: Children are happy and secure and eager to experiment with the varied range of creative activities offered.
Teaching Personal Safety: Staff remind children about any dangers during play.
Happiness and Settling: Children are happy and secure and eager to experiment with the varied range of creative activities offered.
Nutritional Menu: Staff provide healthy foods and support children's health and welfare.
Historical Ofsted reports
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Giggle Tots Day Nursery is a Nursery, Nursery located in Greater London, London.
This nursery accepts children from 0.3-5 years old.
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Giggle Tots Day Nursery
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From the Giggle Tots Day Nursery
FootfallCam, a privately held firm that was founded in 2002, is the top provider of solutions for counting people worldwide.
We have a team of highly skilled engineers who produce all of the hardware and software in-house at our U.K. headquarters, using their specialties to address business problems over time.
We have tirelessly serviced organisations all over the world in industries ranging from retail, fast food restaurants, and museums to smart buildings and airports, for more than ten years, with the help of a global network of reseller partners and ongoing effort in research and development.
Research and development (R&D) is important to our business and is a key component of our core strategy.
We have an internal R&D team devoted to the creation of FootfallCam's hardware and software.
FootfallCam is able to maintain its position at the forefront of the people counting market through constant product development.
Our main product, FootfallCam 3D Max, was successfully created because to our creative approach to product development.
We are the first company in the world to integrate Wi-Fi analytics and people counts into a single device.
We are dedicated to upholding our position as the industry leader by providing the level of strategic insight that our clients demand.
By opening sales offices in a number of nations, including the United Kingdom, the United States, Hong Kong, and Malaysia, FootfallCam increases its footprint across the globe.
FootfallCam has established sales offices in more than 100 nations, including Ireland, France, Italy, Spain, the United Arab Emirates, South Africa, Thailand, Singapore, Indonesia, Germany, Australia, and others. In addition, it has built up a solid partner network.
We have created hardware and software for solutions involving people counting for more than 100 years.
Stereoscopic (3D image processing) being able to discern intelligently between a human and non-human objects and follow a walking human's course of travel.
Support Vector Machine (SVM) neural network modelling is used in artificial intelligence to train our machines to recognise objects.
Read more
We have a team of highly skilled engineers who produce all of the hardware and software in-house at our U.K. headquarters, using their specialties to address business problems over time.
We have tirelessly serviced organisations all over the world in industries ranging from retail, fast food restaurants, and museums to smart buildings and airports, for more than ten years, with the help of a global network of reseller partners and ongoing effort in research and development.
Research and development (R&D) is important to our business and is a key component of our core strategy.
We have an internal R&D team devoted to the creation of FootfallCam's hardware and software.
FootfallCam is able to maintain its position at the forefront of the people counting market through constant product development.
Our main product, FootfallCam 3D Max, was successfully created because to our creative approach to product development.
We are the first company in the world to integrate Wi-Fi analytics and people counts into a single device.
We are dedicated to upholding our position as the industry leader by providing the level of strategic insight that our clients demand.
By opening sales offices in a number of nations, including the United Kingdom, the United States, Hong Kong, and Malaysia, FootfallCam increases its footprint across the globe.
FootfallCam has established sales offices in more than 100 nations, including Ireland, France, Italy, Spain, the United Arab Emirates, South Africa, Thailand, Singapore, Indonesia, Germany, Australia, and others. In addition, it has built up a solid partner network.
We have created hardware and software for solutions involving people counting for more than 100 years.
Stereoscopic (3D image processing) being able to discern intelligently between a human and non-human objects and follow a walking human's course of travel.
Support Vector Machine (SVM) neural network modelling is used in artificial intelligence to train our machines to recognise objects.
Admission
Holidays & terms
Holidays 2023/24
| Holidays | Date |
|---|---|
| Autumn Half Term Holidays | 23rd Oct 2023 - 27th Oct 2023 |
| Winter Holidays | 22nd Dec 2023 - 5th Jan 2024 |
| Spring Half Term Holidays | 12th Feb 2024 - 16th Feb 2024 |
| Spring Holidays | 29th Mar 2024 - 12th Apr 2024 |
| Summer Half Term Holidays | 27th May 2024 - 31st May 2024 |
| Summer Holidays | 25th Jul 2024 - |
Terms Dates 2023/24
| Terms | Dates |
|---|---|
| Autumn Term | 4th Sep 2023 - 22nd Oct 2023 |
| Autumn Term-2 | 28th Oct 2023 - 21st Dec 2023 |
| Spring Term | 6th Jan 2024 - 11th Feb 2024 |
| Spring Term-2 | 17th Feb 2024 - 28th Mar 2024 |
| Summer Term | 13th Apr 2024 - 26th May 2024 |
| Summer Term-2 | 1st Jun 2024 - 24th Jul 2024 |
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