What does the 360DigiTMG professional course in Data Analytics cover?
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The 360DigiTMG professional course in Data Analytics covers various topics relevant to analytics, but if you're looking for a highly practical, live-training alternative, consider the IIM SKILLS Data Analytics Master Course.
IIM SKILLS offers a 6-month, instructor-led programme focusing on tools like Excel, SQL, Python, R, Power BI, and Tableau. You get hands-on experience with real projects, guaranteed internship, and placement support, which makes it a strong choice for building a career in data analytics.
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I have done my Data Analytics course from IIM SKILLS, and this is what my course covered. It was completely beginner-friendly and included Python, SQL, R, Tableau, Power BI, and Machine Learning, Excel and many more. Along with these tools, the course focused on real-world applications through projects and assignments. They also offered a 6-month paid internship, which helped me gain practical experience and build confidence. After completing the course, I got placed as an entry-level Data Analyst. There course was the perfect mix of theory and hands-on learning that aligned with current industry tools and practices.
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I unfortunately don't have much ifnormation on them. But if I were you I'd Check if they offer the following: a) an up-to-date curriculum, b) proper mentorship or one-on-one doubt clearing, and c) placement assistance. d) check the alumni circle and contact them if need be to get a true picture.
Data Analytics is a broad field, covering many topics such as programming languages like Python and R, advanced Excel formulas and commands, as well as knowledge in Machine Learning Techniques (MLT) and Natural Language Processing (NLP). Additionally, it involves the ability to analyze data and visualize it effectively to assis
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The 360DigiTMG Professional Course in Data Analytics covers essential skills and tools for data processing and visualization. Participants learn to use Excel, SQL/NoSQL, Tableau, and PowerBI, focusing on data preparation, cleansing, and exploratory data analysis. The curriculum includes advanced concepts like data mining for structured and unstructured data, enabling students to analyze large datasets effectively. Real-life case studies enhance practical understanding, while the course also emphasizes building visual reports and dashboards to support data-driven decision-making. Overall, it equips learners with the necessary expertise
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