The Best Intermediate Data Analytics Courses to Help You Level Up

Are you looking to become a data analyst, but don't know where to start? Or are you an experienced data analyst looking to take your skills to the next level? If so, you're in luck! There are plenty of courses available to help you learn and hone your data analytics skills. From introductory to intermediate, these courses can provide you with the knowledge and resources you need to become a successful data analyst. In this blog post, we will take a look at the best intermediate data analytics courses that can help you level up your career.

1) HarvardX: Data Science Professional Certificate

HarvardX's Data Science Professional Certificate program provides the perfect opportunity to learn advanced data analysis skills. This comprehensive program covers the fundamentals of data science, including data wrangling and cleaning, exploratory data analysis, machine learning algorithms, and more.

Through interactive lectures, exercises, and projects, students gain the knowledge and skills needed to succeed in the data science field. With topics ranging from statistical inference to predictive modeling, this certificate will equip you with the skills necessary to work in data science and understand the fundamentals of data analysis. With an experienced faculty and access to state-of-the-art technologies, HarvardX's Data Science Professional Certificate provides a comprehensive learning experience for aspiring data scientists.

2) IBM: Data Science Methodology

The IBM Data Science Methodology course is designed for experienced data scientists and professionals who are interested in developing their knowledge of data science methodology. Through this course, you will gain the skills to confidently practice data science and create data-driven solutions.

You will learn how to apply critical thinking and problem solving to solve data science problems. You will also learn how to develop a structured approach to your data science project and apply concepts like hypothesis testing, exploratory data analysis and predictive modeling.

The course covers topics such as the fundamentals of artificial intelligence (AI) and machine learning (ML), natural language processing (NLP), deep learning, and Python programming. You will be able to choose from different levels of complexity to meet your specific goals. The course also features industry experts from IBM and other companies as well as guest speakers.

In addition, the course offers a variety of hands-on projects that allow you to build up your portfolio. These include creating an AI chatbot, building an image classification system, and designing an anomaly detection system. At the end of the course, you will receive a certificate from IBM upon completion.

Overall, the IBM Data Science Methodology course provides an in-depth understanding of data science methodology and provides the opportunity to apply those concepts to real-world problems. With its comprehensive coverage of AI, ML, NLP, deep learning and Python programming, this course is a great way to level up your data science skills.

3) Udacity: Data Analyst Nanodegree Program

The Udacity Data Analyst Nanodegree program is a comprehensive online program for data professionals looking to gain real-world skills in data analysis. This program focuses on developing the foundational skills needed to make meaningful connections from data and provides a hands-on approach to exploring, cleaning, and analyzing large datasets.

The Data Analyst Nanodegree program has five courses that are completed over three months. It starts with an Introduction to Programming with Python course which introduces students to the basics of computer programming and data analysis. From there, students move onto SQL for Data Analysis, Data Visualization with Tableau, and Inferential Statistics courses. The last course is an Applied Project which gives students the opportunity to use all their newly acquired knowledge and apply it to a real-world project.

Upon completion of the Data Analyst Nanodegree program, students will receive a certification of completion and be ready to enter the workforce as an entry-level Data Analyst. The Nanodegree program is also eligible for college credit, allowing students to transfer credits towards a degree at any accredited university.

Overall, the Udacity Data Analyst Nanodegree program provides a great way for intermediate data professionals to level up their skills and become prepared for success in the data field. With its comprehensive course structure, hands-on approach, and eligibility for college credit, the Data Analyst Nanodegree program is definitely worth considering for anyone looking to increase their data analytics expertise.

4) General Assembly: Data Analytics WDI

The General Assembly's Data Analytics Web Development Immersive (WDI) course is an excellent option for those looking to level up their data analytics skills. It is a 12-week full-time program designed to give students a comprehensive overview of the tools and methods used by data scientists. The program focuses on teaching students the core principles of working with data, as well as how to use the popular tools, technologies, and platforms used by modern data analysts.

During the course, students will learn how to identify patterns in data, build predictive models, create insightful visualizations, and communicate their findings. In addition to these technical skills, they will also gain experience in project management, version control, and versioning tools. After completing the course, students will be able to confidently work with a wide range of datasets and apply their knowledge in real-world projects.

The WDI is perfect for anyone who wants to develop their data analytics skills, whether they are a recent graduate, have some experience in the field, or are switching careers. It is open to both professionals and beginners and has no prior coding or analytics experience required. The course consists of hands-on labs, case studies, presentations, quizzes, and independent projects that help students develop a deep understanding of the subject matter.

Students will also benefit from learning in an interactive environment with experienced instructors and peers who share their enthusiasm for data science. Upon completion of the course, participants will be awarded a Certificate of Completion from General Assembly and receive personalized career support from the school.

Overall, the General Assembly Data Analytics WDI course is an excellent way to level up your data analytics skills and become a highly competent data analyst. With the help of experienced instructors and the supportive community of peers, you can quickly become proficient in all aspects of data analysis and be ready to take on real-world projects with confidence.

5) Metis: Data Science Bootcamp

Metis is an industry-leading data science bootcamp that provides an intensive program for those looking to level up their data analytics skills. The program lasts for 12 weeks and focuses on the fundamentals of data science, including machine learning, data visualization, and statistics. The curriculum is designed to challenge even the most experienced data professionals and help them develop an understanding of the tools and techniques used to build a successful data-driven project.

Metis also offers career support services that provide mentorship, career guidance, and job placement assistance. In addition, they also offer extended learning programs to help students take their skills even further. With Metis, data professionals can increase their confidence, deepen their knowledge, and become industry ready with the help of this world-class program.

There are a lot packages present in this course and if you want to learn more about the course, click here now