5 Best Data Analytics Certification Courses in 2024
As data becomes the backbone of every industry, the role of a data analyst has never been more essential. For early career professionals in data analysis and for those looking to sharpen their existing skills, choosing the right course can make a big difference. With several options available in the market, it can be tough to find the course that best fits your requirements. To help you on your career journey, we at AIM have rounded up the top five data analytics courses for 2024. 1. Snowflake’s SnowPro Certification Program The SnowPro certification is designed to give professionals a comprehensive understanding of the Snowflake platform. It provides globally recognised credentials that strengthen your resume and establish your expertise in the fast-growing field of cloud data. The certification program covers a broad range of essential Snowflake topics, including platform architecture, data loading, transformation, and robust security features. It gives you a solid foundation for excelling in real-world data challenges. In addition to technical learning, SnowPro offers hands-on experience through practical exercises, equipping you with the skills to address complex data scenarios confidently. The program includes access to exclusive training resources and insights from industry leaders, allowing you to deepen your knowledge while connecting with a community of like-minded professionals. Professionals who have achieved SnowPro certification have seen a positive impact on their careers. They have gained the skills needed to lead data teams and implement Snowflake-driven solutions for clients. 2. IBM Data Analyst Professional Certificate This program is a good choice for those seeking a comprehensive introduction to data analysis. It covers fundamental skills required for data analyst roles, including Excel, SQL, Python programming, and data visualisation. One of the program’s key strengths is its emphasis on practical, hands-on learning. Each course includes real-world projects and exercises, allowing students to apply their knowledge to actual data analysis scenarios. Learners gain proficiency in essential tools such as Excel, SQL, Python, and IBM Cognos Analytics, building a strong skill set that is highly valued in the industry. The program concludes with a capstone project, where you apply your new skills to real-world situations. This course is available for free on Coursera. This IBM professional certificate, which lasts approximately four months (5-6 hours per week), is highly regarded by employers and can significantly boost your career prospects. 3. Google Data Analytics Professional Certificate This course offered through Coursera, is an excellent starting point for beginners. This program consists of eight courses, covering everything from data foundations to advanced analysis with R programming. The curriculum includes hands-on projects using real-world data sets, and teaching students to use tools like SQL, R, and Tableau. With no prior experience required, learners can complete the program in approximately six months, dedicating about 10 hours per week. Upon completion, students earn a shareable certificate and gain access to Google’s job platform, which can potentially lead to employment opportunities. This course is available for free on Coursera. 4. DataCamp Data Analyst with Python Track This interactive online course focuses on Python and its data analytics libraries, including Pandas, NumPy, and Matplotlib. The exercise-based learning approach provides immediate feedback, helping you solidify your understanding of key concepts. With over 36 hours of content, this self-paced program is ideal for beginners wanting to master Python for data analytics. The course explores specialised areas of data analysis. Courses on data visualisation with Matplotlib and Seaborn teach students how to create compelling and informative graphs and charts, an essential skill for communicating insights derived from data. The track also covers statistical concepts and their implementation in Python, providing a solid grounding in the mathematical principles underlying data analysis. The curriculum includes courses on exploratory data analysis, teaching students how to investigate datasets and uncover patterns and anomalies. It also covers working with categorical data and dates and times in Python, addressing common challenges data analysts face in real-world scenarios. The annual cost of the course for individuals is INR 6,250. 5. The Springboard Data Analytics Bootcamp This course covers a wide range of topics essential for data analytics, including structured thinking, Microsoft Excel for business analytics, financial analysis, economics for data analysis, and data visualisation. It’s designed to build both technical and business aptitude skills. The program includes real-time projects and capstone projects, allowing students to apply theoretical knowledge to practical scenarios. The boot camp is a six-month program to which students can devote 15 to 20 hours per week. It’s entirely online and self-paced, allowing learners the flexibility to balance their studies with other commitments.The course is suitable for both experienced professionals and newcomers to the field who want to advance their data analysis skills. It’s particularly beneficial for early career professionals in sales, marketing, project management, and related fields.
Advance your career in data analytics with the specialized upskilling programs. These top 5 analytics certification courses can give your career a new height.
Advance your career in data analytics with the specialized upskilling programs. These top 5 analytics certification courses can give your career a new height.
["Courses", "data analyst certification"]
["NumPy", "AI", "Snowflake", "Python", "Aim", "Seaborn", "analytics", "Courses", "Matplotlib", "R", "data analyst certification", "Pandas"]
["AI", "analytics", "Aim", "Pandas", "NumPy", "Matplotlib", "Seaborn", "Snowflake", "Python", "R"]
Siddharth is a media graduate who loves to explore tech through journalism and putting forward ideas worth pondering about in the era of artificial intelligence.