Tips & Complete RoadMap to become a Data Scientist in 2024

Summary

This video script offers a comprehensive guide for aspiring data scientists, focusing on the skills required in 2024 and beyond. It outlines four key tips: mastering essential technical skills like Python, machine learning, and SQL; understanding the average salary for data scientists in the Indian market; developing functional skills by combining technical expertise with industry-specific knowledge; and following a step-by-step roadmap for learning and gaining practical experience. The speaker emphasizes the importance of mentorship and real-world projects to bridge the gap between academic knowledge and industry needs, ultimately increasing job placement chances.

Takeaways

• 🔍 **Must-Have Skills**: To become a data scientist, one must be proficient in Python, machine learning, deep learning, natural language processing, time series modeling, SQL, and possibly additional skills like Docker, AWS, and reinforcement learning.
• 💼 **Average Salary Insights**: In the Indian market, a fresher data scientist can expect a salary range of 4 to 8 LPA, with potential for higher salaries based on the right training and project experience.
• 📈 **Importance of Internship**: Internships and projects that are unique and not readily available on the internet are crucial for standing out and securing a job as a data scientist.
• 🛠️ **Technical vs. Pro Skills**: While technical skills are essential, 'Pro skills' or functional knowledge in a specific domain can significantly enhance a data scientist's value in the job market.
• 🌐 **Relevance of Domain**: Data science can be applied across various industries, and having a project that combines data science skills with industry-specific knowledge can increase employability.
• 📚 **Step-by-Step Roadmap**: A structured learning path is provided, starting from basics like Python and statistics to advanced topics like deep learning, natural language processing, and generative AI.
• 💡 **Mentorship Matters**: Having a mentor who can guide you through the learning process and help secure internships or real-world project experience is invaluable.
• 📈 **Growth Potential**: With proper coaching, one can expect a significant increase in salary, ranging from 50 to 70% higher than the average for freshers.
• 🌟 **Stand Out in Interviews**: To succeed, it's important to not only have the skills but also to demonstrate them effectively in interviews, showcasing unique projects and experiences.
• 🔗 **Real-Time Job Requirements**: The script mentions real-time job postings, indicating that there is a demand for data scientists with specific skill sets and industry experience.
• 🚀 **Future-Proofing Careers**: The roadmap and skills discussed are not just for 2024 but are designed to be relevant and valuable in the future job market for data scientists.

Q & A

What are the must-have technical skills for a data scientist in 2024 and beyond?

The must-have technical skills for a data scientist include proficiency in Python, machine learning, deep learning, natural language processing, time series modeling, SQL, and possibly additional skills like Docker, AWS for cloud deployment, reinforcement learning, GANs, and advanced concepts like generative AI, LLMs, T-BLO, and Power BI.

What is the average salary range for a fresher data scientist in the Indian market in 2024?

The average salary range for a fresher data scientist in the Indian market in 2024 is between 4 LPA (lakh per annum) to 8 LPA, with some individuals potentially earning up to 15 LPA or 12 LPA with the right internships and projects.

What is the importance of having a mentor for someone aspiring to be a data scientist?

A mentor is crucial for providing one-on-one guidance, helping to secure a job, and offering credibility and experience. They can assist in developing both technical and functional skills and provide real-world industry exposure through projects.

What are functional skills in the context of data science, and why are they important?

Functional skills refer to the ability to apply data science skills within a specific domain or industry. They are important because they allow data scientists to understand and solve industry-specific problems effectively, making them more valuable to employers.

How can a data scientist showcase their skills to potential employers?

A data scientist can showcase their skills through real-time projects that are unique and not available on the internet, demonstrating their ability to apply data science techniques to solve real-world problems.

What is the role of internships in the career of a data scientist?

Internships play a significant role in a data scientist's career by providing hands-on experience, industry exposure, and the opportunity to work on unique projects that can be highlighted during job interviews.

How can someone ensure their data science projects are unique and not just internet-based?

To ensure projects are unique, one should work on industry-specific problems, collaborate with mentors or companies, and contribute to real products or research, which are not typically available as standard internet resources.

What is the significance of working on industry-standard projects for a data scientist?

Working on industry-standard projects is significant as it provides practical experience, demonstrates the ability to apply data science skills in a real-world context, and can lead to better job opportunities and higher salary expectations.

How does the script suggest one should approach learning data science to become a data scientist?

The script suggests a step-by-step approach, starting with a strong foundation in the must-have technical skills, followed by gaining functional skills, working on unique projects, and seeking one-on-one guidance from a mentor until securing a job.

What additional skills are mentioned in the script that could enhance a data scientist's profile?

Additional skills mentioned include Docker for containerization, AWS for cloud deployment, reinforcement learning, GANs for generative models, and knowledge of advanced AI techniques like LLMs, T-BLO, and Power BI.

How can someone stay updated with the latest trends in data science and technology?

One can stay updated by continuously researching, following industry leaders and influencers on platforms like Instagram, and participating in webinars or courses that focus on the latest technologies and trends in data science.

Outlines

00:00

🚀 Becoming a Data Scientist in 2024: Skills and Roadmap

This paragraph introduces the video's focus on guiding individuals to become data scientists in 2024 and beyond. It emphasizes the importance of understanding the must-have skills for data scientists, including technical skills like Python, machine learning, deep learning, natural language processing, and SQL. The speaker also hints at discussing the average salary for data scientists in the Indian market, the distinction between technical and functional skills, and providing a step-by-step roadmap for those aspiring to enter the field.

05:00

💼 Insights on Data Scientist Salaries and Career Growth

The second paragraph delves into the average salary range for fresher data scientists in the Indian market, which is stated to be between 4 to 8 LPA, with some even receiving higher offers of 12 to 15 LPA. The speaker mentions that securing a job as a data scientist, especially for freshers, often depends on the credibility of the training received and the projects worked on. The importance of having a mentor and gaining industry-relevant experience through internships is highlighted, as well as the potential for salary increases based on proper coaching and industry experience.

10:01

🛠️ Essential Technical and Pro Skills for Data Scientists

This paragraph discusses the functional knowledge and pro skills required for a data scientist, emphasizing the multidisciplinary nature of the field. The speaker explains that data science can be applied across various industries and that having a strong understanding of one's core domain is crucial when applying data science skills. The paragraph also touches on the importance of combining technical skills with functional knowledge to meet industry demands. Real-time job requirements and the value of unique, non-internet-available projects for showcasing one's skills during interviews are also mentioned.

🌟 Comprehensive Guide to Securing a Data Scientist Position

The final paragraph wraps up the video by summarizing the key points discussed and providing a comprehensive guide for aspiring data scientists. It stresses the importance of working on unique, real-time projects that are not available on the internet to showcase one's skills effectively during interviews. The speaker also encourages viewers to seek one-on-one guidance from mentors until they secure a job in data science. The paragraph concludes with an invitation for viewers to share their thoughts and provide feedback for future content.

Keywords

💡Data Scientist

A data scientist is a professional who utilizes various techniques and tools to extract insights from complex data sets. In the video's context, the term refers to the goal of becoming a professional in this field, with a focus on the skills and experience required to succeed in 2024 and beyond.

💡Technical Skills

Technical skills are the specific abilities and knowledge required to perform certain tasks, especially in the field of data science. The video emphasizes the importance of being proficient in Python, machine learning, deep learning, and other technical areas as a prerequisite for becoming a data scientist.

💡Machine Learning

Machine learning is a subset of artificial intelligence that enables computers to learn from data and improve over time without being explicitly programmed. The video mentions it as one of the must-have skills for a data scientist, indicating its significance in the field.

💡Deep Learning

Deep learning is a branch of machine learning that uses neural networks with many layers to model and understand complex patterns in data. The script refers to it as an essential technical skill for data scientists, suggesting its role in advanced data analysis tasks.

💡Natural Language Processing (NLP)

NLP is a field of computer science that focuses on the interaction between computers and human language. In the video, it is listed as a key technical skill for data scientists, highlighting its importance in processing and analyzing textual data.

💡SQL

SQL, or Structured Query Language, is a standard language for managing and manipulating databases. The video identifies SQL as a must-have technical skill for data scientists, indicating its use in querying and managing large data sets.

💡Functional Skills

Functional skills in the context of the video refer to the industry-specific knowledge and understanding that complements technical skills. The speaker mentions that data scientists need to apply their technical skills within their domain of expertise, such as healthcare or manufacturing.

💡Average Salary

The average salary mentioned in the video refers to the typical earnings a data scientist can expect in the job market. It serves as an indicator of the value placed on the role and the potential financial rewards for those pursuing a career in data science.

💡Cloud Computing

Cloud computing is the delivery of computing services, including storage, processing, and software, over the internet. The script mentions it as an add-on skill for data scientists, suggesting its relevance in managing and analyzing data on remote servers.

💡Data Visualization

Data visualization is the presentation of data in a graphical format to make it easier to understand and analyze. The video includes it as part of the beginner's program for aspiring data scientists, emphasizing its importance in effectively communicating data insights.

💡Generative Adversarial Networks (GANs)

GANs are a class of artificial intelligence algorithms used in unsupervised learning, where two neural networks compete with each other to improve their performance. The video script lists GANs as an advanced concept and an important skill for data scientists, particularly in the field of generative AI.

Highlights

The importance of data science skills in the job market, especially for freshers aiming to become data scientists.

Four key tips for aspiring data scientists to succeed in 2024 and beyond.

Must-have technical skills for a data scientist, including Python, machine learning, and SQL.

The average salary range for data scientists in the Indian market, particularly for freshers.

The significance of internships and industry-related projects for gaining practical experience.

Functional skills as a complement to technical skills for a well-rounded data scientist profile.

The multidisciplinary nature of data science and its application across various industries.

The value of having a mentor and one-on-one guidance for career development in data science.

A step-by-step roadmap for learning and becoming a data scientist, including beginner to advanced phases.

The inclusion of advanced topics like generative adversarial networks (GANs) and long-chain models in the learning curriculum.

The necessity of unique, non-internet-available projects to showcase during job interviews.

The role of real-time industry projects in bridging the gap between academic knowledge and job requirements.

The importance of being able to articulate and demonstrate one's skills effectively in interviews.

The potential for significant salary increases with proper coaching and industry experience.

The availability of job placement assistance for those who have completed the training program.

The emphasis on continuous learning and adaptation to stay relevant in the evolving field of data science.

Encouragement for viewers to engage with the content, ask questions, and seek further guidance.

Transcripts

how to get placed as a data scientist in

2024 and in future that is your question

because you know the fact that when you

are researching in Internet the top

trending Technologies in 2024 and in

future Google gives you the fact that

lot of Technologies you will be able to

see but one of the many Technologies you

will be seeing data science artificial

intelligence machine learning uh cloud

computing uh data fication lot of

Technologies all right but here you are

you are here to know basically I want to

become a data scientist but I'm unsure

what to study how to study what is the

road map uh people are expecting

experience I'm a fresher but my end goal

is to become a data scientist how to do

that you are confused here right so I'm

going to explain you totally four tips

here tip number one I'm going to tell

you what are the must have skills for a

data scientist tip number two I'm going

to tell you what is the average salary

of a data scientist in Market in 2024 uh

mark Indian market is actually paying

particularly I'm targeting on this uh

the same you you can check out in your

own Market if you are seeing from

outside India okay uh tip number three

I'm just going to talk about uh I've

told you that there are two important

skills one is technical skills and the

other one is functional skills if you

are focusing on data sense shops so tip

number one I'm going to talk about what

are the technical skills tip number two

I'm going to talk about the salary

average salary tip number three I'm

going to talk about what are the

functional skills required and also I'm

going to talk show you a proof

okay and tip number uh four I'm going to

show you the complete step-by-step road

map how you want to uh study if your

goal is to become data scientist okay

that's what this video is all about so

please um if you want you can take notes

but do not skip this video because I

have lot of values to share uh take this

and if you're really really serious to

become a data scientist this video is

going to be completely helpful for you

all all right so if you're very much

serious please watch this okay this this

uh video is going to be maximum for 10

minutes so make sure you take complete

value of of this okay let's get started

I'm going to share my screen and in

between I'll be stopping my screen also

and I'll be coming back so hope my

screen is visible to you all so here I

just posted tips to become a data

scientist in 2024 and uh future even in

future all right so first tip as I've

already said tip number one what are the

must have skills all right let me stop

my sharing my screen and I'm just coming

back you can see me what are the must

have skills meaning must have technical

skills now I'm just going to quickly

tell you you can write note it down last

tip number four I'm just going to show

you all right so that you can m m match

it up tip sorry uh must have skills is

you need to be strong at python machine

learning deep learning natural language

processing U time service modeling SQL

um and uh yeah so these are all the must

have skills all right very very

important skills there are other add-on

skills like tblo or PBA um then

reinforcement learning Gans these are

all the addon skill but must skills are

these okay and lot of other add-on

skills also I can just add it up for you

all I'm I believe that you taking notes

you have you can just if not you can go

back and take notes other addon skills

are like uh Dockers AWS in the cloud

deployment how it will happen and uh

llama models these kind of stuffs all

right fine so tip number one is done

that is that must have technical skills

and what are the add-on skills okay now

tip number two I'm sharing my screen tip

number two if you could see current

average salary all right the average

salary that market is ready to pay for a

fresher all right for a fresher it is 4

LPA to8 LPA now don't come back and tell

me sir where is the job for freshers I

can show you in another video but as the

time is very

limited or you can reach I'm just

leaving my our support teams contact

number below we can show you multiple

proofs how many freshes are getting

placed as data scientist okay it's all

about with whom you are getting trained

uh who's the a person who who's your

coach what is that person's

credibilities all about So based on that

you can make it and again let me make it

clear freshes nobody is going to hire

you but freshers with internship

opportunity uh based on the projects

whatever you worked with if those

projects are something given from

internet you can't get but if your if

your if your project if it is something

related to Industry standard or if

you're building uh because here what we

do is we give chances for our people to

work on the products what we are

developing they are the one who actually

building and helping us to build this

products all right so they getting that

experience in an interview when you're

whenever you're going and facing an

interview you're going to speak about

this because you literally helped us

helped us to build this products and

that's why you are going to go there and

back when notification they will be

giving a call to us whether this person

worked or not and we are actually

recommending you and this will happen

only to people whoever worked here and

that's how we are able to place money

okay that's why I'm saying the average

current salary for a fresh year it is

between 4.5 LPA to

8 LP there are a lot of people whom I

placed uh not a lot people some people

for 15 LPS of pressure 12 LPS of

pressure even uh if you're are following

me from uh my Instagram Channel just go

back in my Instagram uh that is John AA

coach John or John the a coach there are

two accounts I handle there you'll be

seeing something like result results in

my bio or uh testimonial something you

will see there you see lot of things

which I posted recently just give a

minute

yeah sorry everyone so uh you can just

go and check out there all right so

there are a lot of things whether it is

real or not people are placing make sure

you are collaborating with the right

person okay now let me quickly go back

to the third and for experience before I

move to the experience part experience

from your current salary again if you

have got got coached properly definitely

from your current salary minimum 50 to

70% high can happen we have helped a lot

of people to get placed in New Zealand

and uh many are getting trained from us

and lot of other countries too but it

always depends on until you secure your

job you need to be coached in a mentor

if you're having a mentor with you it is

really good if probably you might be

someone who has already picked up data

science or artificial intelligence and

learning from your uh Institute or

wherever it is so make sure you

collaborate with your Mentor uh make

sure you talk with them because only if

you talk with them they can make sure to

travel with you until you secure your

job a make sure you do that take that

initiative try to talk with the mentor

oneon-one try to get their time try all

possibilities you can all right because

that's what it will take you to move

closer to your dream okay step number

three sorry tip number three uh Pro

skills that is let me stop sh here you

can read it I'm having only three

minutes left Pro skills means functional

knowledge let me stop sharing my screen

what do I mean by functional knowledge

this is a pro skills where nobody is

actually giving you which you need to

actually develop within yourself data

scientist is a multi-disciplinary field

what do we mean by multidisiplinary

field like for example let's say rice RS

can be put in a plate and can be uh

eaten or you can put it in a uh what is

that uh a normal plate or silver plate

or plastic plate we have different

plates in the same way data s can be

applied in different in healthare uh

manufacturing electrical electronics uh

pharmaceutical um banking uh you know

Electronics mechan lot of indust it can

be applied anywhere so if you are

particularly for let's say if you're

from how a mechanical engineer is

getting placed as data scientist because

this person is very much strong in

mechanical domain so when you're

learning data sense skills you should

think how my data sense skill I can

apply in my core domain so that projects

you need to come up with if you're

having a mentor you can go and discuss

with a mentor about your ID if Mentor is

able to help you definitely you can

Implement so that is what the point here

all right so when you're combining your

core technical skills which have already

listed with your functional knowledge

there is a huge requirement no matter if

you're a fresher on experience all right

let me share my screen let me show you

proof how it will look like okay see tip

number three real time requirement all

right we are looking for senior data

scientist with experience in Inventory

management this is nothing but what

supply chain industry Inventory

management comes in Supply if you have

any friends please refer this is one

internal requirement which you have got

all right in case if you are a fresher

if you have got technical skills and

also if you're are having some

functional skills if you have combined

and developed a project when you're

showcasing that project to this company

definitely they are going to give you a

chance probably if you're someone who's

having this experience definitely you

can reach out to our team I'll just

leave the contact number in the in the

description box uh you can reach out to

us all right we'll definitely try to

refer you if that ption is open there

but do not ask for sir give me job no

that's not the scope of this video only

if you have this requirement uh sorry

only if you have this uh uh experience

you can reach out to us we can refer or

else please do not ask for job directly

because that's not what we directly

recommend in anything okay fine the last

part is what I've said complete

step-by-step road map all right how

exactly it is done so so for this uh

said what is I'll be telling you I'm

just going to show you this all this is

what how we actually uh train Here If

You Could See beginners program phase

one we have uh in this beginers program

uh we have actually kept uh python um

data visualization and um statistics

statistics I said I missed it you can

write it on statistics and um yeah

machine learning all right Basics

machine learning and then Advanced

machine learning deep learning and

natural language processing time series

modeling SQL programming reinforcement

learning lot of things you need to learn

properly out it and then uh generative

sorry generative this is what called as

Gans very important for prompt

engineering techniques and also the

generative AA Parts whatever you're

saying gen against generative aders

networks prompt engineering you should

know Dockers uh Cloud deployment at

least in AWS you should know the

generative AI these are all some

advanced concepts the llms longchain

llama tblo and power B all right these

are all the skills which we go with in

the same way if you're also able to

travel definitely you should be able to

do it really well all right so that's it

which I thought of delivering it to you

all I think my time is done 10 minutes

so in this video you have learned about

um how to get placed as data scientist

in 2024 and in future so definitely the

skills whatever 15 phases are the

technical names but for each and every

uh phases you you need to work on one

pro real time projects and just internet

project will give you some kind of

strong in coding that is one side but if

you're having an experience to work in a

company for their products whatever uh

they they can build uh definitely if

you're getting that internship

certification and when you're moving to

the company paid or not paid whatever it

is but that project should be unique it

should not be available on internet

that's what the that's what my point is

all about that's what we are actually

offering to all our data sence Learners

whoever is coming here and learning here

we are giving their chance we are

they're getting trained properly and

also this is something which as a

pressure or experience as you have what

they need you're going to be called

You're going to be selected all right

for the interview you need to prove an

interview but most of the majority of

the people who were saying uh know for

coming career Guidance the point is you

all are having um projects with

internship but that project is already

there in Internet how can a company give

a project which is already there in

Internet and when you're taking this

going to the employee definitely there's

a big gap so you do not have what they

need all right you do not have what they

need you need to have what they need so

that the Gap will be reduced and more

chances will come to you and in an

interview you need to speak really

really outstand well so that the chances

you can get it okay I hope this

complete guide has given you uh how to

become a data scientist in 2024 and in

future I I believe strongly believe this

write one-on-one guidance is what all

you need until you secure your job as a

data scientist it's not all about until

you complete your course now until you

secure your job you need write

one-on-one guidance so please make sure

to travel with your Mentor wherever

you're studying um that will definitely

yield results to you that's what it is

coming for us okay cheers all the best

uh just leave your thoughts or uh if you

like this content just put your comments

below so I would be coming up with a lot

of contents like this or what content I

need to speak more so that that will be

helpful to you also let let let me know

in the comment section so that I will be

definitely producing that content

consider it and produce it uh for you

all all right cheers all the best have a

good day bye