Corporate Technology And Analytics Certification Made Easy

In today’s world, data analytics is a crucial element in measuring the success of a company. For instance, you can observe your business’s performance in a specific campaign and collect information and analyse what’s working well and what’s not.

By carefully monitoring this data, companies can improve their strategies for future campaigns and reap better outcomes.

That being said, data analytics is a complicated job- it’s a mix of art and science. An estimated total of 97,000 data analyst jobs are vacant in the Indian market. In fact, data analytics requirements are the reason for a 45% increase in jobs in the Indian market.

There is a constant gap between the requirement and supply of data analysts as the job necessitates high skills and a sharp learning curve. Today, education and training for data analysts have started to gain great momentum in India.

corporate training

In this scenario, with a data analytics certification in hand, one can have a great career ahead. Read on to know the benefits of having an analytics certification. But before that, let’s see what exactly data analytics is and its role in corporate business.

What Is Data Analytics?

These days, organisations deal with a ton of data from various areas. With the right tools, they can get insights into different aspects of their business processes, customers and campaigns. When they have access to these insights, they can make informed decisions at every stage of business operations.

With data analytics, firms can maximise revenues and minimise risks. Another advantage is that it allows them to bring innovation to the products and services offered. Thus, they can keep up with the ever-changing demands of the buyer’s market.

What is the Use of Data Analytics in Business?

There are several prominent applications of data analytics. One such area is marketing, advertising and sales. It is good to have an extensive set of data on your customers. However, it will be of no use if you cannot retrieve any meaningful information from it. That is exactly where data analytics can help you.

With the help of effective data analytics, your business can study customer behaviour and purchasing patterns. You can cater to their needs by advertising products or services in demand. That will, in turn, result in an increase in sales.

What are the Advantages of Having a Data Analytics Certification?

1. Increased Opportunities

As mentioned earlier, data analytics is a growing and evolving field in the Indian market. Many companies are planning to make data analytics a core part of their business.

They are on the lookout for highly skilled individuals who can fill in these esteemed positions. Under such conditions, having a data analytics certification will prove to be extremely useful.

2. High Demand For Skilled Professionals

Although there are a plethora of job opportunities, the number of skilled professionals who fit the job roles of the organisation is very few. With certification, you can be equipped with the knowledge and skills that can get you the job.

3. Higher Salary

According to a Naukri Survey, 67% of recruiters admitted that they prefer certified professionals over others. They also said that they are willing to pay them a higher salary. Thus, you can expect a better career and salary growth with proper certification.

To Sum It Up

If you are interested in exploring the possibilities of the data analytics industry, Imarticus Learning has multiple data analytics courses to offer. With over a decade of experience in this field, we can equip you with the right tools and knowledge. Visit our website and choose a course according to your requirements. Don’t miss out on this chance to boost your career growth!

The best prediction models that win big this IPL

The best prediction models that win big this IPL 

The Indian Premier League (IPL) is the most popular and exciting cricket league in the world. There will be ten teams competing against each other this IPL season 2022 for the trophy. Since the start of IPL in 2008, it has grabbed the attention and interest of people from all over the globe. The high level of uncertainty of the matches, and last-minute wins and losses have only increased the viewer count for this cricketing event over the years. And who doesn’t like knowing which team will win that particular match, or even the entire season in advance? Between the matches, you might have also seen a scoreline at the bottom of your television screens showing the winning probability of the two teams. You’d have also seen the probability changing every over for the teams. That is based on the number of runs scored and wickets taken in that particular over. All these predictions are made with the help of data analytics, deep learning, and machine learning. 

Humans cannot analyze extremely huge sets of data, and that is where data analytics and machine learning come into the picture. Predicting the result of an IPL match is a massive work. It includes consolidating the data, analyzing it, and then predicting the result through the number of runs scored, wickets taken, wins and losses of any particular team from the past seasons, and so much more. Imagine the amount of data one would have to analyze for that! Data Analytics makes the work a lot easier.

Data Analytics and Data Science are not rocket science. It only gets easier and more interesting as one starts pursuing it. Doing a data analytics course would help any individual predict the wins of the IPL matches forever! Most of the data science and data analytics courses can also be done online, in the comfort and convenience of one’s own house. Learn Data Analytics online with Imarticus.

STEP-BY-STEP IMPLEMENTATION OF PREDICTION MODEL:

Step 1: Data extraction!

Extract a data sheet that contains all the details of every IPL player from as many seasons as possible.

Step 2: Data cleaning and formatting

Keep the required data sets only.

Step 3: Encoding the categorical data to numerical values.

Encode the raw data into numerical values that make sense to the computer.

Step 4: Feature Engineering and Selection

Divide the data into train sets and test sets before using a machine learning algorithm. Also, scale the data before processing it to make the model less complicated.

Step 5: Building, Training & Testing the Model

Building the correct prediction model using a computer language is crucial. The model can use functions like Sequential and mean squared error, and algorithms like Adam Optimizer, etc. The prediction models can be of a wide range, and multiple kinds of functions and algorithms can be used.

Step 6: Prediction

Create a data frame that shows the actual values and the predicted values. If done correctly, the model will predict the results of the IPL matches at maximum accuracy. It will give almost similar scores. To find out the difference between the actual and predicted scores more accurately, performance metrics will show the error rate using mean_absolute_error and mean_squared_error. 

 Imagine how much time it would have taken us to do all this! But as it can be seen, the above steps in a procedural manner can simplify problem-solving and are generally preferred in the industry. Predicting an IPL match can be as easy for you too! Learn Data Science and Data Analytics courses online with Imarticus