#capability development

The Federal Ministry of Defence, the Defence Industries Corporation of Nigeria (DICON), and dmg events have announced the launch of the Africa International Defence Exhibition, scheduled to take place from 26–29 October 2026 at Eko Atlantic, Victoria Island, Lagos. The launch reflects the rapid expansion of Africa’s defence and security landscape, fueled by increasing investments across air,…

Of course the same can be applied to other managers, but I really want to explore from a sales manager perspective. How many times have you seen this scenario, one in which one of the top performing salespeople get shoulder tapped and promoted to the role of sales manager. The same things has traditionally happened in education, healthcare, where the best performers get promoted. It’s more…

Tata Steel Digie-Shala's Mechanical Assessment is a comprehensive test specially designed to assess the candidates' knowledge in the Mechanical domain.

This assessment tool include essential mechanical reasoning study guide with complete in-depth breakdown of the different tests and practical learnings that will help you improve your technical knowledge to become industry-ready.

Computational thinking is a relatively new term and the topic of much discussion in the educational system today. As per current scenario computational thinking is a highly valuable skill that is becoming a topic of increasing interest among computational education researchers as well as computer scientists. The reason for this due to the significant benefits associated with it in terms of problem-solving. This review introduces computational thinking as a term and gives some characteristics surrounding the skill set. We then examine the benefits and advantages of computational thinking in general and the areas in which it may be applied. We also explore the importance of computational thinking in education and teaching practice and note areas in which this is currently being implemented. Finally, we make recommendations for the inclusion of computational thinking as a core topic in primary and secondary education.

   1.         COMPUTATIONAL THINKING IN DETAIL: - Computational thinking can be broken down into different facets of thought each with its own particular strengths and applications the following section describe computational thinking aspects in more detail.

 2.         LOGICAL THINKING: - Logical thinking is perhaps the most important part of computational thinking. Logic in this sense may be confused with a computer’s logical calculation however in terms of computational thinking it refers to a deduction or extrapolation of new information or data based on existing information. According to “Curzon Black” the logical aspect is informing realistic conclusions not reaching correct assumptions by chance.

 3.         ALGORITHMIC THINKING: - Algorithms play a major part in problem-solving in computer science especially in repetitive problems. This aspect of computational thinking is perhaps the most closely aligned to computer science itself. Algorithmic thinking can also be thought of as strategic thinking or step-by-step processing. Algorithmic thinking in general problem solving can greatly improve efficiency, especially when dealing with problems of similar nature.

 4.         EFFICIENCY: - In computer science and in particular in algorithm design efficiency deals with the minimization of resources required by an algorithm to solve a problem. Although many computational resources may be defined two are of significant importance the time it takes for an algorithm to solve a problem and the memory space required while solving. Of these two, however, the time required is usually the most important. This means that specific thought must go into designing an algorithm to best handle a specific type of problem it is not possible to simply speed up an algorithm at runtime to improve its time complexity. In terms of algorithm design an “efficient algorithm” takes the least number of steps to solve a problem.

 5.         INNOVATIVE THINKING: - Innovation is a key characteristic of computational thinking and is best evidenced in the fact that computer science lies at the forefront of modern innovation. According to the Cable News Network (CNN, 2014), the top ten inventions are currently all results of amazing innovations in computer science. Innovative thinking trains the mind to question things that already exist to challenge assumptions and ultimately to think “outside the box”. This aspect gives computational thinkers a significant advantage in problem-solving.

The advanced excel training is directed to the preparation of authoritative people and in general people with moderate knowledge regarding Microsoft Excel for capacity growth. The course would encourage the undergraduate study to apply more substantial amounts of cycles through the usage of excel devices such as MACROs, frameworks, formats, menus, and bases of knowledge, among others.

Objective General:

Once advance excel courses training is full, the member would be able to utilise complex capabilities such as templates, frameworks, layouts, menus and Microsoft Excel knowledge bases to prepare.

Pivot to Render and Change:

Development and modification of complex tables in order to complete a superior data survey from a knowledge table, program or part of networks. Association of complex tables to hold all of the quantities and subtotals reached under management and usage.

Fields with Fixed Value:

The role of the agreement revealed that we had in our dynamic table a superior representation of them and a stronger perception of the consumer. Modify complex quality operation by adding previously pre-evaluated simple computational equations.

Listings Dynamics:

Create and change complex posts in a bookkeeping page in Microsoft Excel from a revolving bench. Tweak the pivot table configuration and state the comparative options in a related table. The right rundown presentation.

How long is the Microsoft Excel Advanced Online Course the most relevant time period?

Enhanced capability means that students are completely introduced to and subject. This course is tailored for all people who use their everyday practice to improve their dedication to the course.

Organizations, currently, operate in highly volatile, uncertain and complex environment. The dynamic business landscape warrants a robust risk management system that enables business identify material risks and demonstrate assurance of operational controls. The risk management process enables organizations to sustain and improve value during the business as usual scenario while future-proofing businesses to ensure business continuity and protect value proposition while adapting to multitude of external forces and events.

Tata Steel has deployed a structured enterprise risk management process, that’s deeply embedded within its divisional business units. The risk management process at Tata Steel derives inputs from global standards like COSO, ISO 31000:2009. Adoption of this approach goes beyond regulatory compliance and provides a framework to respond to ever-changing business landscape. The company considers enterprise risk management as an important management tool aimed towards developing a risk intelligent culture that supports decision-making process thereby improving performance. The integrated ERM approach with the framework aligned for Tata Steel Group Companies across geographies, promotes insights into risks across the portfolio of all business activities.

Risk management at Tata Steel is a two pronged (top-down, bottom-up), iterative process, which is dynamic in nature. The function has three levels of risk management responsibilities: Risk Oversight, Risk Infrastructure & Management and Risk Ownership. Risk Infrastructure is managed by Central ERM team, which helps in designing, implementing & monitoring common ERM framework across the organization. Divisions and Profit Centers are led by Risk Owners, who help identify, measure, monitor, review and report risks as per defined common framework. ERM team facilitates by providing an outside-in view to the Business Units (BU) for holistic risk identification, flags-off exceptions, highlights progress of implementations and status of key risks. Benchmarking of ERM processes & procedures is undertaken through interactions with CROs from organizations across the country and participation in various National & International risk conferences and training programs.

ERM process is an effective enabler in responding to fast evolving business scenarios. The unprecedented disruption and heightened economic uncertainty has reinforced the need for a mature ERM process. Tata Steel has been able to leverage its risk intelligence by recalibrating its operations in line with the evolving business environment . The risk management process has facilitated divisions to evaluate a range of outcomes through scenario planning exercise and prioritize mitigation plans accordingly. In order to counter its exposure to business cycles and pandemic-induced slowdown, Tata Steel continues to enhance its footprint by building a diversified portfolio of customers from a range of industries across the country. It has also ramped up exports in the interim and continues to focus on the de-commoditization agenda through entry into value added services and new materials business, etc. It is continuously working towards diversification in sourcing and expanding its vendor base from other geographies and developing internal supply chains to manage supply chain disruptions. Digital and climate change continue to drive the corporate agenda. Several measures like increased scrap usage, focus on scrap recycling as a distinct business area, carbon capture, etc., are being pursued to accelerate transition to a low carbon regime.