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Apricot is a luscious and delicious fruit. It is found in certain countries where the weather is not too hot. This is especially true in regions with four distinct seasons.
They are of various types but are dried naturally and artificially. These methods are that a tree called (shusck) شسک in Gojal-Hunza is made from its fiber. From a small branch, a large plate is made. The apricots are placed on it.
The kernels are removed from the apricots and the pure apricots are dried and prepared for the market.
Nowadays its importance has increased. People use it as food instead of selling it because of the increasing number of diseases. In olden days, they used it as food too.
How to get oil from apricot seeds.
How to extract apricot seed oil.
How to dry apricots in the sun.
How to dry apricots in the oven.
How to dry apricots at home.
How do you dry apricots in the air fryer while sun-dried?
How to dry apricots without a dehydrator.
Natural and old ways of drying apricots.
A natural and old method of drying apricots.
A Natural and Old Method of Drying Apricots (Global).
Apricots benefits.
Drying apricots in the convection oven.
Drying apricots in the sun. how to use dried apricots.
Drying apricots in the dehydrator.
Best way to eat dried apricots. what to do with dried apricots.
Drying apricots.
Dry apricot seed oil. How to sun dry apricots.
Apricot seed oil at home.
Drying apricots in the oven.
The people of Shishkat Gojal warmly welcomed the elderly people of Central Hunza upon their arrival.
Elderly people of Central Hunza visit Gojal Hunza.
A ceremony was organized in their honor at Shishkat Community Center in which the President, Shia Imami Ismaili Council Aliabad Haiderabad, Ismaili Social Welfare, and Chairman, and Aga Khan Youth and Sport Board members also participated with the elderly.
So that they are encouraged and do not feel alone in this changing world, in the modern age, there are health and care problems for the elderly, for which the social and government institutions must organize a program at the national level.
It should be remembered that in recent years, according to the mission vision of His Highness Prince Karim Aga Khan, all Imamate and Jamaati organizations have organized various programs for the elderly.
It may also be recalled that Gojal elders managed by The Shia Imami Ismaili Local Council Gulmit visited Minapin Nagar last month to promote inter-religious harmony.
Dubai, a megacity known for its substance and fustiness, demands a mode of transportation that reflects its majesty. For those seeking a cost-effective and dependable long-term result, Somonion Rent Car LLC emerges as the premier choice for yearly auto settlements in Dubai.
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The company offers flexible rental terms coupled with exclusive abatements for pious guests. This commitment to affordability extends beyond the rental cost, as fresh services similar to insurance, conservation, and form ensure your safety and peace of mind throughout your reimbursement.
Offering a wide array of vehicles, Somonion Rent Car LLC caters to diverse preferences and budgets, providing ample options for customers. Whether you are in the request for a satiny hydrofoil or a commodious crossover, the company has the perfect auto to round your requirements.
The clarity in pricing, along with the convenience of booking via their online platform, ensures a seamless experience with Somonion Rent Car LLC for individuals starting a long-term journey in Dubai. Auto Reimbursement Services Acclimatized for You Somonion Rent Car LLC does not just offer buses; it provides a comprehensive range of rental services acclimatized to suit colorful occasions.
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Data analytics and business intelligence can be valuable tools for our construction business. Then are some ways you can use them
Use data analytics to track and analyze project timelines, costs, resources, and quality.
Utilize business intelligence to monitor expenses, identify cost-saving opportunities, and make informed budget decisions.
Analyze data to optimize procurement processes, improve supplier management, and ensure timely material delivery.
Equipment and Asset Management: Employ data analytics to optimize equipment utilization, maintenance planning, and minimize downtime.
Use data analytics to identify safety patterns, implement preventive measures, and improve overall risk management.
Business Performance Dashboards: Implement business intelligence tools for real-time monitoring of KPIs, such as revenue, profit margins, and customer satisfaction.
Arithmetic generally refers to mathematics that deals with different types of numbers and their basic operations like addition, subtraction, multiplication, and division. Sir kindly explain how Arithmetic is one-dimensional and mathematics is two-dimensional.
Arithmetic is often considered a fundamental branch of mathematics that deals with basic operations on numbers, such as addition, subtraction, multiplication, and division. Simple problems are discussed in Arithmetic so it is called Unidirectional.
On the other hand, mathematics as a whole is a broad and multi-dimensional field that encompasses various branches, including arithmetic. Mathematics goes beyond basic numerical operations and explores abstract concepts, structures, patterns, and relationships in a wide range of areas, such as algebra, geometry, calculus, statistics, and more. It involves the study of mathematical objects, their properties, and logical reasoning so it is called two dimensional.
In this lesson, the trainer explained the building blocks of Data Analytics. Computer science, Mathematics, Statistics, and Economics are building blocks of Data Analytics
Computer science provides the necessary tools and techniques for collecting, processing, analyzing, and visualizing data.
Linear algebra, calculus, and optimization techniques are essential for machine learning and other advanced data analysis methods. Mathematical performs two-dimensional analysis. These dimensions are numbers and direction.
Statistical methods are used to identify patterns and trends in data, estimate parameters of models, and make predictions based on data. Statistical perform three-dimensional analysis. These dimensions are numbers, direction, and uncertainty.
Economic models are used to analyze business data, forecast trends, and understand consumer behavior.
If you are trying to watch the video lectures from our mobile app, then we request that you kindly update the YouTube App from the Play Store and then try to watch the video lectures about the basic course of the mentioned topics in our posts.
We will not discuss Python in this course. Python is a general-purpose language that is used for the deployment and development of various projects. Python has all the tools needed to bring a design into the product terrain.
In this course, we will use R language. In this course, we will use R language. R is a software terrain and statistical programming language erected for statistical computing and data visualization.
To become a skilled data analyst, it is beneficial to have a strong foundation in mathematics, statistics, economics, and computer science.
While mastering these subjects at an advanced level is advantageous, it is not always a strict requirement.
There are tools and techniques available that can assist with data analysis even with basic knowledge. Tools like Excel, Power BI, and Tableau provide user-friendly interfaces for basic analysis.
Programming languages like Python and R offer libraries that simplify data analysis tasks.
However, continuously developing our knowledge in these subjects will enhance our analytical abilities and enable us to handle more complex analyses effectively.
We have discussed raw data or data collection in lecture 4 this week. Kindly explore the post.
Again for a better understanding and the websites about raw data collection.
Secondly, we recommend that you open a freelancing website like Upwork or Freelancer and review the different proposals from clients on these websites.
I hope you will get a better understanding and will learn which tools are most commonly used for these analyses and what tools you should focus on. For practice, we are attaching an example.
Please explore it like this:
The terms Data Analyst, Data Scientist, Data Engineer, and Data Architect represent different roles within the field of data and analytics, each with its own specific focus and responsibilities.
A Data Analyst is responsible for gathering, cleaning, and analyzing data to extract insights and provide recommendations. They work with various tools and techniques to interpret data and create reports, visualizations, and dashboards.
Their goal is to uncover patterns, trends, and actionable insights from data to support decision-making.
Data Scientists apply advanced statistical and mathematical techniques to analyze complex data sets. They develop and implement predictive models, machine learning algorithms, and data-driven solutions to solve specific problems or make predictions.
They often have a strong background in programming and statistical analysis.
Data Engineers focus on the development and maintenance of data infrastructure and systems. They design and build data pipelines, databases, and data warehouses to ensure efficient and reliable data storage, integration, and retrieval.
Data Engineers are responsible for data extraction, transformation, and loading (ETL) processes and work closely with software engineers and data scientists.
A Data Architect designs and manages the overall structure and organization of data within an organization. They develop data models, define data standards, and establish data governance frameworks.
Data Architects ensure data integrity, security, and scalability, and they collaborate with other teams to align data infrastructure with business needs.
In the previous post, we will discuss the following tools
“Components of Data Analytics and Business Intelligence”
“A Closer Look at the Contrasts Between Data Science and Data Analytics”
“Information is data” in my view, maybe redefined as “Information is processed data” because data is everywhere, and after analysis
Tableau Desktop
Power BI
R language
You can purchase and download the above-mentioned tools from the following official websites:
In the upcoming posts, we will learn about all the tools in detail. Follow us, subscribe to our newsletter, and this course with full attention.
The scope of econometrics includes the application of statistical and mathematical techniques to analyze economic data, test economic theories, and make predictions or policy recommendations.
It involves combining economic theory, statistical methods, and real-world data to gain insights into economic relationships and phenomena.
Provides the conceptual framework for understanding economic behavior and relationships.
Gathering applicable and dependable data from colorful sources.
Statistical styles apply statistical ways similar to retrogression analysis, time series analysis, and thesis testing.
Creating econometric models to represent economic relationships.
Assessing the validity, fit, and reliability of econometric models.
The concept of “Five Dimensions” in data analytics and business intelligence refers to different aspects that contribute to comprehensive analysis. These dimensions include data, technology, methodology, business, and economics. These dimensions work together to provide a comprehensive framework for data analysis and decision-making.
Negative is the opposite direction or value compared to positive. In terms of direction, negative signifies movement or orientation in the opposite way of positive.
For example, on a number line, moving to the left is considered negative, while moving to the right is positive. Similarly, negative values in mathematics are less than zero, while positive values are greater than zero.
Overall, negative and positive represent opposing directions or values.
Statistics and econometrics are foundational pillars of data analytics and business intelligence. They equip learners with essential tools and techniques to analyze data, draw insights, and make informed decisions across various fields, including business, economics, finance, and beyond.
What is the fourth dimension of the data provided by computers and what is the fifth dimension of economics?
The fourth dimension refers to additional variables or attributes that provide context or additional information to the data being analyzed. These dimensions can offer different perspectives or dimensions to enhance the analysis and understanding of data from various angles.
The fifth dimension, while not as commonly discussed, can be associated with external factors or influences that impact economic systems. This dimension encompasses factors beyond the traditional economic variables and includes socio-political, environmental, technological, and global influences that affect economic activities and outcomes.
The term “four-dimensional computer science” is not a commonly used concept or framework in the field of computer science. Computer science typically focuses on algorithms, programming languages, data structures, and the theoretical foundations of computing.
According to this course, Dimension means:
For the purpose of data analysis, I should have command of mathematics, statistics & economics. If our answer is yes then prefer any books or others from where I learn.
There is no recommended book for this course.
Mathematics, Computer Science, and Statistics are the essential building blocks of Data Analytics.
Arithmetic involves basic mathematical operations such as addition, subtraction, multiplication, and division.
These operations are used frequently in data analytics to perform calculations, aggregate data, and generate statistical measures.
Algebra is the study of fine symbols and the rules for manipulating these symbols In data analytics, algebra is used to solve equations, identify patterns, and make predictions.
We have learned these concepts in secondary education. So, we can easily follow the course instructor.
Higher dimensions in data analytics mean that the data has many features or characteristics that describe it.
For example, a person can be described by their name, age, height, weight, hair color, eye color, and so on. Each of these features is a dimension of the data.
They can help us learn more about complex phenomena, like how medical data or a drug affects health or how stock markets change over time.
They can help us find patterns or similarities among different data points, like how customers behave or how stocks perform.
They can help us reduce noise or irrelevant information from the data, by focusing on the most important features or dimensions
Having a solid foundation in math, statistics, and economics can be beneficial for pursuing a course in data analytics and business intelligence. These subjects provide the fundamental concepts and techniques that are often applied in data analysis and interpretation.
However, we can sell the skills on a freelance marketplace by having a basic understanding of math, statistics, and economics.
Maple software is statistics and math-based software. Maple and R are both software tools used in the fields of statistics and mathematics, but they serve different purposes.
Maple is a comprehensive mathematical software known for its symbolic computation capabilities and is used for tasks such as mathematical modeling and solving complex mathematical problems.
On the other hand, R is a programming language specifically designed for statistical analysis, data manipulation, and visualization. It’s extensively used in data analysis and exploration.
However, since our focus is on statistical analysis, data manipulation, and visualization, R is the more appropriate tool due to its rich collection of statistical packages and libraries.
Therefore, we will discuss the R language thoroughly in this course. An AI pupil can profit from learning data analytics and business intelligence because:
However, having a solid foundation in data analytics and business intelligence can certainly be beneficial for a career in AI.
While data analytics and business intelligence provide a foundation, it is important to supplement our skills with specific AI techniques and tools, such as deep learning, natural language processing, and AI frameworks like TensorFlow or PyTorch, to fully specialize in AI.
I know Business Intelligence means where good items come knowing inc/dec in your income from past month/yr demands per item in specific months or events most importantly if my business is increasing how do I control it if you used a file-based system I mean Notebook Khataa now you would convert your notebook into a computer system to manage easily, apply some new rules and manage the cost of that rules, etc
To make your business profit easily with specific tools and information that help executives, managers, and workers make informed business decisions. If I am not wrong.
A way to learn from data that comes from different places, like computers, phones, or books.
A way to find out what is happening in a business, like how many people buy something or how much money they make.
A way to show what you learned in a simple way, like using pictures, numbers, or colors.
Data analytics skills can help you effectively analyze and interpret the data within SAP, enabling you to gain insights, identify patterns, and make data-driven decisions.
By applying data analytics techniques, you can optimize processes, improve efficiency, and uncover valuable information within the SAP system. There are a lot of software that is used for data analysis. In this course, we will discuss the following tools:
Can we become good freelance data analytics after completing the course on freelance marketplaces?
Convert raw data into meaningful analysis with the help of interactive, easy-to-understand dashboards and reports using R, Power BI, and Tableau.
Connect data sources, import data, and transform data for Business intelligence using R, Power BI, and Tableau
Support in translating complex data sets into actionable reporting frameworks and models to enable key performance indicator (KPI) visualization that supports high performance for end-users
Develop Irregular and multidimensional models that are compatible with data storehouse norms.
You can use the free version of Power BI as well to facilitate your learning process
Most of the software wares free, except Tableau, which is paid software. The trial version of Tableau is available on the website for learning purposes, and you can download and use it.
In the upcoming posts, we will provide detailed guidance on all the software.
To work as a data analysis freelancer, you can earn from Microsoft Excel by offering various services on freelance marketplaces.
These services include data cleaning and preparation, data analysis and visualization, dashboard creation, advanced formulas, and functions, report generation, automation and macros, data validation and error checking, training and consultation, template development, and data visualization and storytelling.
Please explore the freelance marketplace and get an idea about the available opportunities related to this niche.
Note: At the start of your freelancing career, we recommend you polish your skills first and get some experience and expertise; after gaining some experience and expertise, you can offer your services on freelance marketplaces.
“A Closer Look at the Contrasts Between Data Science and Data Analytics”
“Components of Data Analytics and Business Intelligence”
“Importance of Data Analytics and Business Intelligence for construction business”
You can download the above-mentioned tools from the following official websites.
https://powerbi.microsoft.com/en-us/downloads/?cdn=disable
Data wisdom is the sphere of study that deals with vast volumes of data using ultramodern tools and ways to find unseen patterns, decide meaningful information, and make business opinions. Data wisdom uses complex machine learning algorithms to make prophetic models. Data Analytics is the process of examining data sets to find trends and draw conclusions about the information they contain.
Decreasingly, data analytics is done with the aid of technical systems and software. Data analytics technologies and ways are extensively used in marketable diligence to enable associations to make further informed business opinions.
Data analytics is necessary because it helps organizations make informed decisions, improve efficiency, gain a competitive advantage, manage risks, understand customers better, and drive innovation and growth.
By analyzing data, organizations can uncover patterns, trends, and insights that guide decision-making, optimize operations, identify market opportunities, mitigate risks, personalize customer experiences, and foster innovation. In a data-driven world, data analytics is crucial for staying competitive and achieving success.
There are several sites that offer free resources for practicing data analytics as fresher
A platform for data science competitions, where you can find a wide variety of datasets and also learn from other data scientists through discussions.
Offers a range of data science and analytics courses and tutorials, some of which are free
UCI Machine Learning Repository:
Is a collection of datasets for machine learning research, which can be used for practice and analysis
Is a platform that provides access to a wide range of datasets, many of which are suitable for data analytics practice.
SQL is not a part of this course because it is easy to self-learn it from freely available online resources like
https://www.w3schools.com/sql/
A data analytics course can benefit Finance undergraduate student by enhancing their data analysis skills, improving financial decision-making, providing a competitive advantage in the job market, enabling automation and efficiency in financial tasks, offering valuable business insights, and expanding career opportunities in various roles and industries.
I am doing a BS MANAGEMENT program. Can you please tell me how this course will help me in the future? The one more thing I want you to answer is that I have heard that AI will replace every career soon and still replace many jobs too.
A student of management can benefit from data analytics and business intelligence skills in many ways, such as:
They can learn from data that comes from different sources, like customers, competitors, or suppliers, and use it to improve their business strategies
They can find out what is happening in a business, like how many people buy something, how much money they make, or what problems they face.
They can show what they learned in a simple way, like using pictures, numbers, or colors, and communicate their findings to others
These skills are unlikely to be replaced by AI completely because they require human creativity, judgment, and communication.
AI can help with some tasks, like collecting and organizing data, but it cannot tell us what questions to ask, what goals to pursue, or what actions to take.
Data analytics and business intelligence skills are valuable for any business manager who wants to make informed and effective decisions.
If you have enrolled in data analytics and business intelligence courses multiple times but have not been able to secure a job, here are some suggestions to improve your skills and increase your chances of finding employment:
Assess your skills and identify areas for improvement.
Stay streamlined with the rearmost trends and tools in the assiduity.
Gain hands-on experience through real-world projects or open-source contributions.
Build a portfolio showcasing your projects and their impact.
Network with professionals in the field through online platforms and events
Consider internships or volunteering to gain practical experience and connections.
Continuously learn through online courses and certifications.
Yes, you can offer different services on freelancing platforms like Fiverr and Upwork.
Convert raw data into meaningful analysis with the help of interactive, easy-to-understand dashboards and reports using R, Power BI, and Tableau.
Connect data sources, import data, and transform data for Business intelligence using R, Power BI, and Tableau.
Support in translating complex data sets into actionable reporting frameworks and models to enable key performance indicator (KPI) visualization that supports high performance for end-users
Develop irregular and multidimensional models that are compatible with data storehouse norms.
We recommend that you kindly explore the freelance marketplace and get an idea about the available opportunities related to this niche.
I hope this course will be up to date and use the latest techniques
Following are some of the skills that you will learn and practice in this course. You will also learn how to use various software tools and platforms that can help you perform data analysis without much coding.
This is a spreadsheet program that allows you to store, organize, manipulate, and analyze data using formulas, functions, charts, pivot tables, macros, and more. Excel is widely used in many industries and fields for data analysis.
This is a data visualization software that enables you to create interactive dashboards and reports using drag-and-drop features.
This is a business intelligence platform that helps you transform data into insights using various tools and services.
All these skills and video lessons are updated till 2023 in our course.
“Business Intelligence BI, Brief introduction, Type and Tools is?”
“Components of Data Analytics and Business Intelligence”
“Importance of Data Analytics and Business Intelligence for Construction Business”
You can download the above-mentioned tools from the following official websites.
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Here is some sketches which sketched by me . I am sketching on demand you can also pleace your order 🙂
My creations
How can I see which time of my page audience is active ?
If a person likes post in other person news feed who had shared my post , will the like be added in my post’s total likes or not?
So isn’t it a financial risk? What our say?
If we see any post how can we identify this post is organic or paid? Any special tips?
For more about related post visit our blog post: How we understand Facebook advertising?
For further information about Ismaili Muslims Please visit FB official page and follow https://fb.watch/gi8FqwDWKJ/
More about The Ismaili Imamat visit official website https://the.ismaili/
YouTube: https://youtube.com/c/TheIsmaili
How to use important links for online jobs and earn online money without investment.
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All these links are authentic and actionable too. Millions of people including us are benefiting from these links. Let’s try to know them in more detail.
Hussain Ali Harri
It is human nature for human beings to enjoy seeing natural scenery which is a beautiful work of nature. But it takes a lot of exploration to see these landscapes. Scenes cool the eyes.
Some short trips are enough for these scenes. We will try to guide you in this journey by involving your friends so that your knowledge will also increase. The famous and well-known village of Hunza Gojal, Passu Gojal Hunza, which is an ancient center of National and International tourists.
A beautiful view of the famous and well-known Passu Cones from this place.
Cafe De PassuFayaz Passu+92 355 4466544۔
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CafeDePassu
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