Tips & Complete RoadMap to become a Data Scientist in 2024
Summary
TLDRThis 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
🚀 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.
💼 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.
🛠️ 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.
Mindmap
Keywords
💡Data Scientist
💡Technical Skills
💡Machine Learning
💡Deep Learning
💡Natural Language Processing (NLP)
💡SQL
💡Functional Skills
💡Average Salary
💡Cloud Computing
💡Data Visualization
💡Generative Adversarial Networks (GANs)
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
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