A Guide to Finding Your Place in the Data Field with WeCloudData

Almost all of your current activities generate data, from clicking on ads on social media to using apps to complete your work. It’s this steady stream of data that helps businesses to boost their operations and grow even further. Healthcare companies, for instance, use data to improve treatment methods for patients. Transportation organizations such as Rideshare use data to optimize their apps, making it easier for you to get a ride when you need it most.

Every bit of data you generate is processed and evaluated by data professionals to give companies a clear picture of what the market wants and needs. It’s no wonder that data professionals today enjoy lucrative and plentiful job opportunities. 

In the second quarter of this year, analyst roles were among the fastest-growing tech occupations, and Structured Query Language (SQL) was ranked as the second most-requested skill in tech job postings, according to the most recent Dice 2021 Tech Jobs Report. 

With the demand comes high pay. Entry-level data scientists earn around $85,323 per year, according to Payscale, while entry-level data analysts also earn a respectable income of around $57,132. Those salaries are above the national average of $56,310 reported by the US Bureau of Labor Statistics. And they’re only expected to go up as these professionals gain more experience. 

If you are hoping to find a program that can steer you toward these careers, then look no further than WeCloudData. 

What Is WeCloudData?

WeCloudData is a learning academy that offers training courses in all aspects of big data. It has an accredited data program that offers exclusive benefits to students globally as well as a welcoming introduction to the data industry for all its prospective students.

WeCloudData seeks to bring positive changes to the global workspace by training people to become skilled in diverse tech roles. Through the school’s practical-based training and cutting-edge technology, students develop in-depth knowledge, in-demand skills, and much-needed industry experience.

WeCloudData highlights the importance of good job preparation and student support in addition to teaching. It connects students with mentors and experienced professionals who can provide them with the advice and support they need to succeed in their chosen fields.

Following that, the career support staff gives thorough one-on-one training on portfolio and resume development, job search, and interview preparation. As a result, over 2,000 students have graduated from WeCloudData, with 98 percent reportedly going on to work in various big data and technology industries.

Careers You Can Start After WeCloudData

WeCloudData offers bootcamps that prepare students for a variety of big data careers. As you may be aware, data specialists are in high demand in the tech industry nowadays. They frequently work as data scientists, data engineers, data analysts, machine learning specialists, and DevOps engineers. 

The section below gives an overview of each profession and how WeCloudData can assist you in pursuing your chosen career path. 

Data Analyst

• Median salary (PayScale): $62,365

Data analysts are professionals who analyze and interpret existing data sets to produce valuable insights. With such information, companies understand their customers’ behavior, monitor trends in the industry, measure the performance of a strategy, and make better decisions.

Take the transportation business Uber, for example. It collects various data from its millions of users, including their location, order destination, and journey time, among other things. Data analysts process this data to extract actionable insights that the organization utilizes to make decisions, such as determining correct ride pricing and predicting arrival timings. 

Data analysts also find work in financial institutions, research departments, marketing, IT, media, to name a few. They can apply for roles like business intelligence analyst, quantitative analyst, operations analyst, and marketing analyst. 

Data analysts use several tools to run an analysis. Such tools include business intelligence, statistical and analysis tools, general-purpose programming languages, especially Python, SQL consoles, and spreadsheet applications. They also use data modeling tools and data visualization tools like Tableau and PowerBI.

Become a Data Analyst with WeCloudData’s Business Intelligence Bootcamp

WeCloudData’s Business Intelligence Bootcamp trains students to become excellent data analysts by teaching them in-demand skills of the trade. During the program, you will learn how to use several essential and in-demand data analytics tools, including SQL, Tableau, PowerBI, Python, and Excel. 

The course also covers the application of data analytics across industries. You will complete seven projects throughout the program that will expose you to real-world scenarios in digital transformation, finance, retail, digital marketing, risk management, supply chain, and Customer Relationship Management (CRM) analytics.

The Business Intelligence Bootcamp is a 12-week online, part-time program. It includes live and interactive classes, hands-on learning, and incorporates lectures from teachers, guest speakers, and mentors from the industry. Students in Canada pay CAD 5,600 (approximately $4,270), while students in the United States and other parts of the world pay $4,500.

Data Scientist

• Median salary (PayScale): $96,992

Data scientists spend most of their time analyzing data to forecast trends and figure out new ways to evaluate data. Quite often, data scientists spend a lot of time collecting and cleaning data, which requires excellent statistics and software engineering skills. They also build models, apply algorithms, and design experiments to test the effectiveness of a company’s strategies. 

Some other duties of data scientists include:

1. Mining big data using models and algorithms, some of which they create themselves.
2. Gathering data from disparate sources. The data set may include structured and unstructured data.
3. Data cleaning and validation to ensure accuracy and correctness of variables.
4. Analyzing the data to identify patterns and trends.
5. Interpreting the data to discover solutions and opportunities.
6. Relating findings to relevant stakeholders using visualization and presentation tools.

To succeed as a data scientist, you must know Python and SQL programming languages and be able to build data pipelines, master data wrangling, be proficient in machine learning, SAS, and several analytical tools. 

Become a Data Scientist with WeCloudData’s Data Science Bootcamp

WeCloudData’s Data Science Bootcamp is available in full-time and part-time formats to accommodate students with varying schedules. Both formats offer a similar curriculum, hands-on training, and live online classes. Students learn SQL, Python, problem-solving, calculus, linear algebra, and statistics in preparation for data processing and machine learning.

Students also learn to build and interpret data and machine learning models using Python, Pandas, NumPy, scikit-learn, Keras, TensorFlow, LIME, and SHAP. Moreover, the syllabus covers cloud platforms and big data technologies, such as Amazon Web Services (AWS), NoSQL, DataFrames API, and several others. 

The cost of tuition varies by the schedule you choose. The full-time bootcamp lasts 16 weeks and costs CAD 15,400 ($12,500) when paid upfront. The part-time program, on the other hand, lasts 24 weeks and costs CAD 10,000 ($8,000) upfront.

Data Engineer

• Median salary (PayScale): $92,934

Data engineers are IT workers responsible for building algorithms and pipelines needed to access, retrieve, and clean relevant data. They also develop dashboards, reports, and other tools needed for presenting and visualizing data. Additionally, they have considerable skills with Scala, SQL, Python, R, C#, Java, and relational database systems.

Depending on the organization, data engineers may work as:

• Generalists. They are responsible for every step in the data process from the collection, to cleaning and analyzing. They often work in small teams and for smaller organizations. Such a role may be a good stepping stone for those who want to switch from data science to data engineering.
• Pipeline-centric engineers. They often work in mid-sized organizations and collaborate with a team of data analysts and scientists. Their role mainly involves creating tools for data scientists and analysts to collect relevant and specific data from clients.
• Database-centric engineers. Their duties comprise implementing and maintaining analytics databases. They often work in large companies that have data spread across multiple databases. Using pipelines and table schemas, they extract data from the multiple data warehouses into a single destination system for the data analysts to access and run relevant analyses.

According to QuantHub, data engineering is about one of the fastest-growing occupations in tech. A wide skills gap in the field is also highlighted, with an estimated 500,000 unfilled job positions.

Become a Data Engineer with WeCloudData’s Data Engineering Bootcamp 

WeCloudData’s Data Engineering Bootcamp is a 24-week program that is available in both full-time and part-time formats. The curriculum covers key data engineering tools and techniques, including cloud computing using AWS and Google Cloud Platform (GCP), data modeling, star schema, and snowflake schema, all of which are necessary for constructing data warehouses.

In addition, the course delves into workflow management with Apache Airflow and data intake with Apache NiFi, Apache Kafka, and Amazon Kinesis. Students also learn about Docker and containerization, both of which are important in the DevOps profession. Students should be able to understand end-to-end data engineering use cases and create end-to-end pipelines by the end of the course.

The program costs CAD 8,600 upfront for Canadian students and $7,000 for international students. Students based in the United States can also opt for an Income Share Agreement, an income-tied loan model that allows them to study now and pay later. To know the details of the ISA, contact WeCloudData’s program advisor. 

AI Engineer

• Median salary (PayScale): $128,000

Artificial Intelligence engineering is an emerging branch of tech that involves developing and deploying learning algorithms that use historical and real-time data to predict future events. Working with a team of data scientists, they apply machine learning, neural networks, and data analytics techniques to build intelligent machines and software capable of human-level intelligence.

Become an AI Engineer with WeCloudData’s AI Engineering Bootcamp

To become an AI engineer, you must have strong programming skills as they are essential for creating and implementing models. At WeCloudData’s AI/Machine Learning Engineering Bootcamp, you will learn the relevant skills needed to succeed in this career path including in-depth neural works, MLOps, Natural Language Processing, deep learning, and computer vision techniques.

The bootcamp comes in both part-time and full-time variants both running through six months. The curriculum is split into two semesters. The first semester covers topics on deep learning, and the second half of the program focuses on use cases and MLOps. Altogether, the program costs CAD 8,600 for Canadian students and $7,000 USD for learners in the US and other international students.

DevOps Engineer

• Median salary (PayScale): $97,000

Development Operations Engineers play a pivotal role in the software development cycle. They deploy several processes, strategies, and tools to ensure faster and consistent delivery of quality products. They act as a link between the software developer, engineers, data scientists, and other stakeholders involved in the development process from coding to deployment, testing, updating, and managing the software.

Become a DevOps Engineer with WeCloudData’s DevOps Engineering Bootcamp

At WeCloudData’s DevOps Engineering Bootcamp, students learn several skills needed to succeed as a Development Operations engineer. Such skills include mastering infrastructure-as-a-code techniques and Terraform, AWS CloudFormation, and container technologies. 

Adding to that, students learn to analyze and design automation systems plus, critical logging, monitoring, and security techniques needed to protect the software from malware. The bootcamp also features several capstone projects where students work on developing apps with Python, JavaScript, or Java and developing DevOps pipelines. 

WeCloudData’s DevOps Engineering Bootcamp is a remote part-time program and it runs for six months. It costs CAD 8,600 for Canadian students and $7,000 USD for international students.

Become a Data Professional with WeCloudData 

With so many opportunities in data-related fields, you’ll need the training to take advantage of them. WeCloudData promises to provide quality training to students from across the world, turning novices into competent data professionals within a few weeks. 

Featuring experienced instructors, industry-focus curricula, and an interactive and hands-on learning approach, it prepares students for today’s data-first world. Whether you are a newcomer in tech or you wish to switch careers, WeCloudData’s data engineering, business intelligence, and data science bootcamps will help you launch your big data career path. Find the right WeCloudData program for you.