Certificate in Data Analytics Course Syllabus - Jigsaw Academy, Bangalore

  • Years 0 Years
  • Type Course Certificate
  • stream Computer Science and IT
  • Delivery Mode
  • university verified
Written By universitykart team | Last updated date Jul, 07, 2024

The Certificate in Data Analytics syllabus at Jigsaw AcademyBangalore, Bengaluru is designed to provide overall knowledge to the students with a strong foundation. Certificate in Data Analytics faculty at Jigsaw AcademyBangalore specially focus on in-depth learning to relevant subjects. At first semester syllabus of Certificate in Data Analytics at Jigsaw AcademyBangalore, students learn the basics of programme. A strong foundation is very important for comprehensive learning. Certificate in Data Analytics syllabus at Jigsaw AcademyBangalore, Bengaluru maintains a balance between theoretical knowledge and practical knowledge.

Certificate in Data Analytics first year students at Jigsaw AcademyBangalore are introduced with core subjects. Then they are encouraged to explore other area for a broader perspective. Jigsaw AcademyBangalore, Bengaluru also provides practical training sessions, workshops, projects, and case studies to enhance student skills. Certificate in Data Analytics syllabus at Jigsaw AcademyBangalore, Bengaluru is also frequently updated to give industry relevant training and knowledge to students. Jigsaw AcademyBangalore strives to provide a nurturing environment where students can learn new skills. The hands-on training sessions at Jigsaw AcademyBangalore enable Certificate in Data Analytics students to apply knowledge and skills in a controlled environment and get required experience.

According to syllabus of Certificate in Data Analytics progress, students learn advanced topics and complex concepts. The Certificate in Data Analytics curriculum at Jigsaw AcademyBangalore, Bengaluru mainly focuses on analytical and critical thinking. As the Certificate in Data Analytics course unfolds, students develop several important skills that increases their employability. As per syllabus of Certificate in Data Analytics at Jigsaw AcademyBangalore also includes real-life projects and internship programs. It helps students critical thinking and gives them real-world experience.

Certificate in Data Analytics curriculum at Jigsaw AcademyBangalore includes group discussions, guest lectures, case studies, and skill development workshops to enhance the learning experience. The Certificate in Data Analytics syllabus at Jigsaw AcademyBangalore aims to create well-rounded professionals equipped with the necessary skills and knowledge to succeed in their chosen fields.

Additional curriculum at Jigsaw AcademyBangalore

  1. Workshops and Seminars - Regular sessions with industry experts help Certificate in Data Analytics students at Jigsaw AcademyBangalore to stay updated with current trends.
  2. Group Projects - Collaborative projects according to Jigsaw AcademyBangalore syllabus develop teamwork and problem-solving skills.
  3. Case Studies - Certificate in Data Analytics syllabus offers analysis of real-world scenarios to apply theoretical knowledge.
  4. Extracurricular Activities - Jigsaw AcademyBangalore offers several activities like sports, clubs, societies, etc. to encourage overall development.

Note: Given below syllabus is based on the available web sources. Please verify with the Jigsaw AcademyBangalore, Bengaluru for latest Certificate in Data Analytics curriculum.

Syllabus & Subject: Certificate in Data Analytics Course

The Certificate in Data Analytics course syllabus is designed to provide students with a comprehensive understanding of data analytics concepts and techniques. It typically covers topics such as data collection, data cleaning, data visualization, statistical analysis, machine learning, and data interpretation. Students will learn to work with data analysis tools and software commonly used in the industry, gaining hands-on experience through practical projects. Additionally, the syllabus often includes modules on data ethics, data privacy, and data-driven decision-making to ensure students are well-rounded in their knowledge. By the end of the course, students should be proficient in analyzing data sets and extracting valuable insights, making them well-prepared for careers in the data analytics field.

S.NoSubjects
1Preparatory Sessions – Data Transformation using Ms. Excel & Python
2Data wrangling with SQL
3Data Science with R
4Introduction to Data Science & Statistics
5Business Problem Solving, Insights, and Storytelling
6Optimization Techniques
7Statistics & Machine Learning using R Programming
8Time-Series Forecasting
9Data Science Execution Strategy
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