Ivanooo

Accrediations

Scaler

Durartion of the Course

11 Months

Mode of Learning

Integrated Learning

What is The Course All About?

Pros:

  • Comprehensive and in-depth curriculum: Covers a wide range of topics and provides a strong foundation in data science.
  • Experienced instructors from top companies: Offers valuable insights and real-world experience.
  • Strong focus on practical skills and job readiness: Equips learners with the skills needed to succeed in the data science industry.
  • Extensive live classes and mentorship: Provides personalized attention and support to learners.
  • Strong career support: Offers various career services, including resume building,interview preparation, and job referrals.

Cons:

  • High cost: May not be affordable for everyone.
  • Limited flexibility in scheduling: Live classes may not be suitable for learners with busy schedules.

Primary Focus Skill Acquisition & Job Acquisition

Who is the Course Meant For?

  • Working professionals and graduates looking to transition into a Data Science career.
  • Individuals with a basic understanding of programming and mathematics.
  • Aspiring data scientists who want to build a strong foundation in machine learning algorithms, data analysis, and related tools.

Curriculum & Skills:

  • Programming: Python, SQL
  • Data Analysis: Data cleaning, EDA, Hypothesis testing, Statistical analysis
  • Machine Learning: Regression, Classification, Clustering, Deep learning, NLP,Time Series Analysis
  • Big Data: Hadoop, Spark
  • Cloud Computing: AWS
  • Data Visualization: Tableau, Power BI, Matplotlib

Accreditations and Rankings

Not accredited by a university, but recognized by top companies for hiring.
Foundational (for beginners)

Skills: What does this program cover?

  • Depth and Breadth of Topics ⓘ Strong
  • Case Studies ⓘ Strong
  • Tools ⓘ Strong
  • Capstone Projects/Real World Application ⓘ Strong
Skills: 27 /30

Faculties: Who are the experts behind the course?

  • Academic/Industry Exp. ⓘ Strong
  • Teaching Experience ⓘ Strong
  • Industry Recognition ⓘ Strong
Faculties: 20 /20

Delivery Methods: How Is the program delivered?

  • Live Interaction ⓘ Strong
  • Self-Paced ⓘ Limited
  • Assessment ⓘ Strong
  • Community ⓘ Moderate
  • Collaborative ⓘ Moderate
Delivery Methods: 20 /30

Career Assistance: How does the program support career growth?

  • Mentoring ⓘ Strong
  • Personalized Assistance ⓘ Not Applicable
  • Alumni Network ⓘ Strong
  • Industry Partnerships ⓘ Strong
Career Assistance: 10 /15

Student Satisfaction and Feedback: What Do Students Say About the Course?

  • Feedback & Improvement ⓘ Strong
Alumini Feedback: 5 /5

Benchmark Labels:

Strong (75-100%): This indicates the course demonstrates exceptional strengths in this area, exceeding expectations.
Moderate (50-74%): This signifies the course performs adequately in this area, covering essential aspects.
Limited (25-49%): This highlights areas where the course could significantly improve to provide a more comprehensive learning experience.
Very Limited (1-24%): This indicates that coverage in this area may be minimal, or even non-existent.
Not Applicable: This indicates that this criteria is not applicable for this course.

No Reviews found!