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Skills Data Analytics

Harnessing Data for Smarter Solutions

  • Unlock the Power of Data
  • Uncover Insights, Drive Decisions
  • Insightful Analysis, Strategic Advantage

24-week 100% self-paced, online interactive bootcamp for individuals.

Flexible finance options available.

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2.5 Million

Shortage of Data Analytics Workers Worldwide.

590,000

Open Data Analytics Jobs in the U.S.

23%

Increase in Data Analytics Jobs in the Last Year.
 

Who is this for?

In today's data-driven world, the most valuable currency isn't information; it's the skill to transform it into actionable insights. That's where Skills Data Analytics comes in, offering the best data analytics boot camps to propel your career forward.

Master the art of wrangling, cleaning, and analyzing massive datasets to uncover hidden patterns and trends in our online data analytics boot camp programs. Learn to translate data into actionable insights that inform strategic decision-making across the organization. Dive deep into customer behavior and market trends in our data analytics class to craft data-driven marketing campaigns that resonate.

Our data analytics courses are tailored for beginners, ensuring a smooth transition into the world of data analytics. Whether you're new to the field or looking to enhance your skills, our Data Analytics Bootcamp provides the comprehensive training you need.

Build a quantitative edge in the financial world with our data analytics training, leveraging data to assess risk, forecast trends, and optimize investment strategies. Skills are the only tool that separates professionals from amateurs. Instead of remaining raw in your role in production, marketing, or finance, mastering the skills of data analytics will elevate you to work as an effective professional.

Our immersive bootcamps go beyond classroom learning. You'll gain practical experience through real-world projects, industry-standard tools, and mentorship from seasoned professionals.

 

Data Analytics Course Objectives

By the end of your course, you'll:

  • Understand the fundamentals of data storage.
  • Develop proficiency in SQL queries, stored procedures, cursors, and functions.
  • Explore the applications of cloud computing in data analytics, including storage, processing, and analysis.
  • Gain proficiency in Python programming, covering data types, control structures, and libraries.
  • Master data quality management techniques, including profiling, cleansing, standardization, and validation.
  • Learn principles of data visualization, including different chart types, tools, and best practices.
  • Acquire knowledge of statistical concepts such as probability, hypothesis testing, correlation, and regression analysis.
  • Explore the principles and techniques of data science and machine learning relevant to data analysts.
 

Opportunities and Growth in Data Analytics Certification

Data analytics presents abundant career opportunities for individuals adept in handling data storage, SQL queries, cloud computing, Python programming, data quality management, visualization, statistical analysis, and machine learning. Proficiency in these areas allows data analysts to contribute to informed decision-making, operational efficiency, and strategic growth across industries. With the increasing reliance on data-driven insights, skilled professionals can expect dynamic roles in designing efficient data solutions, extracting valuable insights, and leveraging advanced analytics techniques. A career in data analytics offers a rewarding path for those passionate about harnessing the power of data to drive innovation and create tangible impact in diverse domains.

Data Analytics Roles and Salaries :

Salaries for Data Analytics professionals can range from $50,000 to over $150,000 per year, depending on experience and expertise.

There are a wide range of Data Analytics jobs that pertain to the below job roles:

  • Database Administrator (DBA)
  • Data Engineer
  • Data Analyst
  • Business Analyst
  • Data Visualization Specialist
  • Data Scientist
  • Financial Analyst
  • Data Architect
  • Marketing Analyst
  • Data Programmer
  • Quantitative Analyst
 

Skills You'll Gain

Why "Skills"? Because data analytics isn't a one-size-fits-all proposition. We offer specialized tracks tailored to your aspirations, equipping you with the precise skillset you need to thrive in your chosen field:

  • Design, implement, and manage data storage solutions.
  • Write and optimize SQL queries for data retrieval, manipulation, and analysis.
  • Use cloud computing platforms such as AWS, Azure, or Google Cloud.
  • Use Python programming language for data manipulation, analysis, and visualization.
  • Develop data visualizations using libraries such as matplotlib, seaborn, or Plotly.
  • Improve data quality through profiling, cleansing, standardization, and validation techniques.
  • Choose appropriate chart types and visualization tools based on data and audience requirements.
  • Apply statistical techniques to derive insights and make data-driven decisions.
  • Build and evaluate predictive models for forecasting, classification, and clustering.
  • Use Tableau for data exploration, visualization, and dashboard creation.
 

Still Have Questions?

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