How to make a career in Analytics?

How to make a career in Analytics?
The Data Monk can help you make a quick career transition to Analytics. We help in creating capabilities to help you become stronger in your technical skills and have been tested by 10000+ members.
We are having a webinar on How to Make a career in Analytics? on 12th May’23 at 3:00 pm on Hangout. If interested please fill in your details in the link given below

12th May’23 Webinar on How to Make a career in Analytics?

Along with the webinar, we will also be sharing 100 SQL Questions e-book , SQL cheatsheet and 35 Videos on SQL.

Even if you miss the webinar, you can comment your queries below in the comment box.
When we mean Ask anything, we actually want you to ask ANYTHING (without filter)

Ask about tools, technologies, how to apply, where to apply, salary, designation, courses, and ANYTHING

2200 Questions to Crack ANY Analytics Interview

Crack ANY Analytics interview from Fresher Analyst to Analytics Manager by going through this book with 2200 Interview Questions (75% off as of now)

The Data Monk Product and Services

1. Youtube Channel covering all the interview-related important topics in SQL, Python, MS Excel, Machine Learning Algorithm, Statistics, and Direct Interview Questions
   Link – The Data Monk Youtube Channel
   
2. Website – ~2000 completed solved Interview questions in SQL, Python, ML, and Case Study
   Link – The Data Monk website
   
3. E-book shop – We have 70+ e-books available on our website and 3 bundles covering 2000+ solved interview questions
   Link – The Data E-shop Page
   
4. Mock Interviews
   Book a slot on Top Mate
   
5. Career Guidance/Mentorship
   Book a slot on Top Mate
   
6. Resume-making and review
   Book a slot on Top Mate 

The Data Monk e-book Bundle 

1.For Fresher to 7 Years of Experience
2000+ interview questions on 12 ML Algorithm,AWS, PCA, Data Preprocessing, Python, Numpy, Pandas, and 100s of case studies

2. For Fresher to 1-3 Years of Experience
Crack any analytics or data science interview with our 1400+ interview questions which focus on multiple domains i.e. SQL, R, Python, Machine Learning, Statistics, and Visualization

3.For 2-5 Years of Experience
1200+ Interview Questions on all the important M