In today’s day and age, constantly acquiring new skills is not a choice but a necessity for mid-career professionals. It not just offers better financial possibilities but also provides much-needed security against the volatility of the job market. The covid-19 pandemic has made it even more evident as many working professionals were laid off during the pandemic. Also, People are losing jobs due to the advancement in AI. The predictions suggest that as much as 50% of the workforce could be replaced by machines within the next 30 years. Therefore it is safe to say that enlisting in a corporate training course can upskill the professionals and provide them with much-needed job security. This article will discuss two of the most popular corporate training courses.
Product management courses
Product management is a crucial aspect of business management. Every product goes through a life cycle from inception to being in the hands of a consumer. The success of products depends on how the product life cycle is managed. The product manager’s job is to oversee the entire process and strive for perfection.
Every product starts as an idea. But ideas can be misleading. The person who came up with the concept will always feel like their vision is groundbreaking, and only if they could launch it in the market will it become the hottest selling item. Yet, it fails miserably when a product is found without a product development structure. Therefore having a clear idea and implementation expertise is of utmost importance for wanna-be product managers.
Every product must go through these product development stages.
- Inception
Every product starts as an idea. Product managers need to go through all the ideas and find the ones that have the potential to be a hit.
2.Idea validation
With candidate ideas in hand, the next step in the process is validating the ideas. This is mainly done through surveys, and it should get reactions from all types of potential customers. After idea validation surveys, it should be clear to the product manager if the product is fit for the market or not.
3.Prototype building
After idea validation, a product manager can move on to the next step, prototype building. This is the stage where the product and its packaging are conceived.
4.Product launch
For the product launch, a proper marketing strategy should be in place. Even though it is the marketing team’s job, the product manager should always be involved in the process.
A product management course will teach the students about product lifecycle management in great detail. It also teaches them about leadership, as it is a universal skill that every manager should have.
Data analytics courses
Data analytics has become one of the highly sought careers. Every company, be it small or big, will use data analysis to improve its position in the market. Companies are investing heavily in data analytics teams and business analysts. There are four types of data analytics processes, each of which requires the use of various software and techniques. Data analytics courses are excellent at teaching about the main four types of data analysis, the software required for data analysis and also developing much-needed communication skills in the students.
- Descriptive analysis
The descriptive analysis aims to analyze key performance indicators to find answers to what happened in a set time frame. Data analysts will use basic structuring and dashboard creation software for the descriptive analysis process.
- Diagnostic analysis
With the gathered insights from the descriptive analysis process, the company can start to think about why the key-performance indicators moved a certain way. Data analysts will mostly use statistics to undertake this form of analysis.
- Predictive analysis
Predictive analysis is a fantastic tool for safeguarding a company’s future from upcoming setbacks. To take on predictive analysis, a data analyst must have a good understanding of machine learning.
- Prescriptive analysis
The prescriptive analysis is done to extract actionable insights from large datasets. Deep learning algorithms are necessary for this form of analysis.
Business-focused data analytics courses will include
- Basics of data science
Dedicated classes on basic data science concepts are crucial for beginners.
- Required software for data cleaning, structuring and dashboard creation
The data analytics process depends on data. Raw data has many irregularities in them. To make the data usable, data analysts have to clean and structure the data.
- A programming language, most preferably python.
- Machine learning and deep learning algorithms.
- Could computation
Tremendous computational power is required for quickly analyzing large data sets. Maintaining high-tech servers and computers is not feasible for most companies. Therefore it is a standard industry practice to outsource the computational power from cloud computation service providers. Data analytics courses cover the entire cloud computational process and familiarise students with popular cloud computational platforms.
- Practical implementation of such software and algorithms aligned with industry needs.
Conclusion
Both of these corporate training courses are available at reasonable rates from reputable institutions. These courses will improve working professionals’ skills and allow them to climb higher in the corporate environment.