Nowadays Data science technology is becoming more popular all over the major industry. Because these days all industries have a large amount of data and with AI & data science technology you can use this data for your industry growth. So this is AI & Data Science. So basically the whole world is moving towards data-driven technology hence the output is the industry needs more certified data scientists.

Dear Learners in this blog we are going to tell you the top 7 professional data science certifications courses that you can pursue in 2023. The demand graph for certified data scientists is rapidly growing day by day. The responsibility of a data scientist is to prepare data, analyze the data process the data, and perform the advanced data analysis, and reveal the pattern.

Lets us first understand the life cycle of data science. Data science basically depends upon common techniques. Which are down below:

First step: Capture: on this stage, their data is in the form of a row structured or unstructured. So in this stage data is scraped from the device or system in r4eal time.

Second step: The second step is to prepare the data and maintain the data. At this stage, data is transformed into a row to its correct needed format. This transformation is required for analytics, deep learning, and machine learning. At this stage cleaning, duplicating, and reformatting of data are being done.

Third stage: On this stage determine the suitable data for use for analysis, machine learning, and deep learning algorithms to determine the category and pattern values with the data.

Fourth step: the fourth stage is analysis, on this stage discovery takes place. In this stage, data scientists perform statical analysis.

Fifth step: fifth and final stage is communication, in this stage insights are presented in the form of reports or any other form. Insights make it easier for a businessman to take decisions.

Read: Machine Learning Engineer vs-Data Scientist a Career Comparison

RESPONSIBILITIES OF A DATA SCIENTIST

As a data scientist, you will have a lot of responsibilities mentioned down below.

Acquire the data, clear and process the data, store and integrate the data, analyze the data in the initial stage, choose the correct data algorithms, apply the right data science techniques, improve the result, make the change and adjust according to the feedback, again repeat the process to solve new problems.

After the course the common data science job titles

1. Data engineer
2. Data architects
3. Data scientist
4. Data analyst
5. Business intelligence specialists

Salary of a Data Scientist

The salary of a data scientist is depended upon the experience and also how much knowledge you have. The salary of a data scientist will grow with time. A report by IBM says that the data scientist jobs are growing by 30%. A data scientist fresher can get around $500,000 per anum.

NOW LETS US KNOW THE TOP 7 PROFESSIONALS DATA SCIENCE CERTIFICATES FOR 2023

No1. (CAP) Certified Analytics Professional: The Certified Analytics Professional (CAP) certification is a credible, independent validation of critical technical expertise and related soft skills, possessed by adept analytics and data science professionals, and valued by analytics-oriented organizations. Best for 2023.

No2. (CCP) Cloudera Certified Professional Data engineer: the next one is the Cloudera Certified Professional certificate. This certificate adds value to me as a SQL developer. CCP helps you to pull & generate reports from the Cloudera CDH environment. This is done with the help of impala and hive.  Best for 2023.

No3. Data science for human reports: Data Science has found its way through specific domains of organizational functions. The Certified Data Scientist-HR curriculum primarily focuses on the deployment of data science in HR functions. The NearLearn-accredited certification is widely recognized and plays a vital role in meeting long-term career goals.  Best for 2023.

No4. Data science for operations: the role of this certificate we can see after the deployment on operations tasks. The NearLearn-accredited certification is widely recognized and plays a vital role in meeting long-term career goals. Best for 2023.

No5. Certified Data Scientist (CDS): This is another popular course in the field of data science. This course is designed to level high. The main concepts of this course are to cover all aspects of data science. The NearLearn-accredited certification is widely recognized and plays a vital role in meeting long-term career goals. Best for 2023.

No6. (DSF) Data science Foundation: this is another high-level data science course best for 2023. This course is also designed for covering the core concepts of data science. On this certification course, concepts are Machine Learning, Statics, Programming, data skills are covered. This course is also going to be the best course for 2023.

No7. (DSF) Data science for finance: the DSF Data science for finance course is specially designed for finance functions. This is also will be a great course for 2023.

You can also pursue this course if you want to deploy in finance functions

Final words: These are the top 7 certifications for 2023 you can do. Why these courses are better we already discussed in the above paragraphs. So in this last section, we just want to tell you that you can choose any of these data science certificates if you want to become a part of this data science industry as a data scientist. Wish you good luck in your future.

Careers in Data science are growing at an unprecedented pace. The job role assists several businesses in making data-driven decisions by identifying data patterns and trends, generating reports, and querying information sources. Moreover, the demand for skilful data scientists in India is at an all-time high.

Before you ring up the curtain on this rapidly growing career path, the first thing is you should be confident in your skill set. However, if you are a hardcore technologist and a coder, who is interested in how we visualize data and communicate with the data, you will find several opportunities within a single industry.

Your resume plays an essential role in fetching the best data science job. Your resume should present all the relevant skill-set in front of the employer. Have a mention the projects that you have handled with brevity and clarity. As a whole, your resume should be crisp and clear enough to impress the employer. However, you need to keep your resume updated so that there will be more chances of getting an opportunity.

5 Tips to Find the Right Data Science job?

A little experience could be advantageous

Securing a data science job as a fresher is not an easy task. Many aspirants carry technical and communication skills, but no prior work experience prohibits them from finding a well-paid data science job. When a candidate starts looking for a job, one has to seek relevant projects to work on concurrently. Your work experience will be considered, and your portfolio will be valued.

Channelized networking through multiple hiring platforms 

There are many networking applications to get connected to employers. For instance, LinkedIn is one of the best applications to seek a job and highlight your skill set. If you have any plans to use LinkedIn to network for a job, start building your relationship with employers. It is up to you how you start building connections. Attending conferences and meetings is a top-notch approach to perfectly channelling your networking.

Don’t give upon data roles opportunity

Many aspirants only aim for data science roles and they hesitate to take on data-related job roles. We recommend aspirants who are looking for Data science job opportunities to take up data roles if it comes first. A data scientist role includes working with data, so it will be easy to move into a data science job later or other data-relevant jobs.

Data-related jobs help in enhancing your domain knowledge. It will boost the data skills that are required to get into data scientist job roles.

Try for emerging companies

The actual part of the job search is sending an application to the right company where you can transform your career. Usually, aspirants run behind well-established companies. But the fact is companies conduct a well-organised hiring process making it hard to clear the rounds for the aspirants with no relevant experience.

However, to enhance your skill-set, you can begin your career in an emerging company. There are numerous advantages of starting your career in emerging companies because you can easily communicate with the founders of the company and your skills and contributions will be much more visible valued and appreciated.

Apply for multiple companies

Once you become an expert in a programming language and understand the various machine learning algorithms, it is recommended to send as many applications as you can to multiple companies. Make sure that every application explains your skill set.

Read: Top 20 Frequently Asked Data Science Interview Questions 2022

Is it your dream to work in Big Tech, that too with a booming job profile in Data Science? Concerned that your lack of knowledge and inexperience is abstaining you from an exciting career with lakhs of a salary package? 

Don’t Panic! Consciously Work on Below Roadmap! 

The burgeoning job profile Data Science is awaiting you with an ocean of opportunities. Let me preface this majority of the job seekers ignore the profile just because it’s a challenging career. But believe me, if you are enthusiastic about solving puzzles and have a creative mindset it’s one of the exciting job profiles.

This article will guide you on the path to reaching your career goals. If you follow the roadmap below, you will thank yourself later when you’re enjoying the fruits of your efforts.

Read: Mandatory Skills to Become Data Scientist

What Big Tech Companies Are Expecting From Upcoming Data Scientists? 

Data Science has been high in demand over the past couple of years, as the world’s most dominant and big tech firms set out the blueprint to optimise the power of data-driven strategies. The salary packages of this job profile reflect the demand.

Data Science has been high in demand over the past couple of years, as the world’s most dominant and big tech firms set out the blueprint to optimise the power of data-driven strategies. Data science has an average salary of Rs 10.8 lakh per annum.

1. Pay Dedication to Quality. 

Big tech firms receive applications from aspirants with advanced degrees, what they actually or equally lookout is interest and knowledge in the subject.

For instance, solid technical knowledge is necessary if you would like to work at Netflix. Data Scientists need to be more creative in analyzing the data to accomplish better productivity in business outcomes. Especially, some other job profiles such as data roles expect candidates to be expertise in entertainment studio production and entertainment.

In another reputed firm Meta, data scientists are required to prove experience with gauging

the success of product efforts, including the aptness to forecast important product metrics

to enhance trends.

If you’re facing rejection due to a lack of skillset, hunt for opportunities. Get in touch with

startups and complete an internship. Once you receive the tag of experience you will get

exposure to working at higher job profiles in big tech companies.

2. Companies lookout for dynamic Data Scientists, who can Connect Data to Big Picture. 

Big tech firms such as Amazon Web Services (AWS), Meta, and Netflix expect data scientists to share relevant information and ideas actively with other associates and non-technical clients.

The job profile has been evolving at a brisk phase, so tech firms hunt for aspirants with the potential to achieve productivity. Hence, data scientists are expected to grow and thrive in this booming technology acquiring knowledge about new topics constantly.

A Roadmap For All the Aspiring Data Scientists! 

Big Tech firms will hire you, either if you have learnt skills via course or completed higher studies in the domain.

1. Earn a Data Science Degree: 

Big technology companies ensure you have quality knowledge to contribute your ideas in a creative way. If you don’t have a related bachelor’s or master’s degree, a Data Science course will certainly help you to get through the job in the desired company.

2. Learn! Learn! Learn! Mastering Relevant Skills Is Important.

Try to polish your hard data skills by taking up an online course or registering in a relevant Bootcamp.

Expertise in Programming Languages, Data visualization, Machine Learning, Big Data, and Communication to earn the desired salary package.

3. Work in entry-level data analytics job: 

There are various ways to get certified as a  Data Scientist, and an entry-level job as a data analytics engineer would be a smart choice. As you become more proficient in relevant skills, it would become easy to work your way up to earn the tag of a data scientist.

Collectively, a piece of fundamental knowledge in mathematical concepts backing machine learning and data science models is necessary along with programming knowledge, especially expertise in R and Python is essential to get through the job.

Read: 7 Factors Companies Look For When Hiring A Data Scientist