Don't do these DATA SCIENCE Mistakes

Beginner Mistakes :

• Spending a lot of time on theory.
• Jumping directly into coding ML algorithms without learning the prerequisites.
• Thinking to build the future without knowing the basics.
• Not spending enough time on exploring and visualizing the data.
• Focusing on accuracy over understanding how the model works.
• Assuming the algorithm is more important than domain knowledge.
• Not having a structured approach to problem-solving.
• Learning multiple tools at once.
• Not learning/working consistently.
• Less communication.

Intermediate Mistakes :

• Data Leakage.
• Sampling Bias.
• Too many redundant features.
• Bad Coding style.
• Unavailability of features in future.
• Not performing proper testing.
• Not Choosing the Right Model- Validation Frequency.
• Choosing the wrong tool to visualize.
• Paying Attention Only to Data.
• Building a Model on the Wrong Population.
• Ignoring the probabilities.
• Data Analysis without a Question/Plan.
• Don't Sell Well.

Mistakes to avoid while applying for jobs :

• Do Not Lie.
• Using too many Data science Terms in your Resume.
• Overestimating the value of academic degrees.
• Do not narrow your search.
• Competitions are not Real-Life.
• Your LinkedIn profile is sacrosanct.
• Being unprepared to discuss projects.

Mistakes to avoid during Interviews :

• Not asking enough questions.
• Discussing the old projects.
• Not considering the business impact.
• Not good at technical skills.
• Not being a problem solver.
• Not thinking from the interviewer perspective.
• Not supporting your statements with stats and facts.
• Failing to convey how you will help the company.
• Forgetting The Requirement.
• Not Using “I don't know" Judiciously.
• Focusing on Answer Rather than Approach.
• Not Taking the Opportunity to go into Details.
• Taking Failure Personally.

10 wrong reasons to become a DATA SCIENTIST :

• You Think Its Easier to get a Job.
• No Interest in Coding or Programming.
• Your Primary Reason is Money.
• You Hate Math.
• An Overall Lack Of Passion.
• You Find Working With Data Annoying.
• Consistent Learning Is Boring.
• Lack of Communication Skills.
• Hate Collaboratively Working in a Team.
• Exploration And Working On Newer Projects does not really appeal to you.