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4 forms found in the DOM

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      <option value="Aruba">Aruba</option>
      <option value="Australia">Australia</option>
      <option value="Austria">Austria</option>
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      <option value="Bahamas">Bahamas</option>
      <option value="Bahrain">Bahrain</option>
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      <option value="Barbados">Barbados</option>
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      <option value="Bonaire, Saint Eustatius and Saba">Bonaire, Saint Eustatius and Saba</option>
      <option value="Bosnia and Herzegovina">Bosnia and Herzegovina</option>
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      <option value="Bouvet Island">Bouvet Island</option>
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      <option value="Brunei Darussalam">Brunei Darussalam</option>
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      <option value="Burkina Faso">Burkina Faso</option>
      <option value="Burundi">Burundi</option>
      <option value="Cambodia">Cambodia</option>
      <option value="Cameroon">Cameroon</option>
      <option value="Canada">Canada</option>
      <option value="Cape Verde">Cape Verde</option>
      <option value="Cayman Islands">Cayman Islands</option>
      <option value="Central African Republic">Central African Republic</option>
      <option value="Chad">Chad</option>
      <option value="Chile">Chile</option>
      <option value="China">China</option>
      <option value="Christmas Island">Christmas Island</option>
      <option value="Cocos (Keeling) Islands">Cocos (Keeling) Islands</option>
      <option value="Colombia">Colombia</option>
      <option value="Comoros">Comoros</option>
      <option value="Congo">Congo</option>
      <option value="Congo the Democratic Republic of the">Democratic Republic of the Congo</option>
      <option value="Cook Islands">Cook Islands</option>
      <option value="Costa Rica">Costa Rica</option>
      <option value="Cote d'Ivoire">Cote d'Ivoire</option>
      <option value="Croatia">Croatia</option>
      <option value="Curacao">Curacao</option>
      <option value="Cyprus">Cyprus</option>
      <option value="Czech Republic">Czech Republic</option>
      <option value="Denmark">Denmark</option>
      <option value="Djibouti">Djibouti</option>
      <option value="Dominica">Dominica</option>
      <option value="Dominican Republic">Dominican Republic</option>
      <option value="Ecuador">Ecuador</option>
      <option value="Egypt">Egypt</option>
      <option value="El Salvador">El Salvador</option>
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      <option value="Eritrea">Eritrea</option>
      <option value="Estonia">Estonia</option>
      <option value="Ethiopia">Ethiopia</option>
      <option value="Falkland Islands (Malvinas)">Falkland Islands (Malvinas)</option>
      <option value="Faroe Islands">Faroe Islands</option>
      <option value="Fiji">Fiji</option>
      <option value="Finland">Finland</option>
      <option value="France">France</option>
      <option value="French Guiana">French Guiana</option>
      <option value="French Polynesia">French Polynesia</option>
      <option value="French Southern Territories">French Southern Territories</option>
      <option value="Gabon">Gabon</option>
      <option value="Gambia">Gambia</option>
      <option value="Georgia">Georgia</option>
      <option value="Germany">Germany</option>
      <option value="Ghana">Ghana</option>
      <option value="Gibraltar">Gibraltar</option>
      <option value="Greece">Greece</option>
      <option value="Greenland">Greenland</option>
      <option value="Grenada">Grenada</option>
      <option value="Guadeloupe">Guadeloupe</option>
      <option value="Guam">Guam</option>
      <option value="Guatemala">Guatemala</option>
      <option value="Guernsey">Guernsey</option>
      <option value="Guinea">Guinea</option>
      <option value="Guinea-Bissau">Guinea-Bissau</option>
      <option value="Guyana">Guyana</option>
      <option value="Haiti">Haiti</option>
      <option value="Heard Island and McDonald Islands">Heard Island and McDonald Islands</option>
      <option value="Holy See (Vatican City State)">Holy See (Vatican City State)</option>
      <option value="Honduras">Honduras</option>
      <option value="Hong Kong">Hong Kong</option>
      <option value="Hungary">Hungary</option>
      <option value="Iceland">Iceland</option>
      <option value="India">India</option>
      <option value="Indonesia">Indonesia</option>
      <option value="Iraq">Iraq</option>
      <option value="Ireland">Ireland</option>
      <option value="Isle of Man">Isle of Man</option>
      <option value="Israel">Israel</option>
      <option value="Italy">Italy</option>
      <option value="Jamaica">Jamaica</option>
      <option value="Japan">Japan</option>
      <option value="Jersey">Jersey</option>
      <option value="Jordan">Jordan</option>
      <option value="Kazakhstan">Kazakhstan</option>
      <option value="Kenya">Kenya</option>
      <option value="Kiribati">Kiribati</option>
      <option value="Korea, Republic of">Korea</option>
      <option value="Kosovo">Kosovo</option>
      <option value="Kuwait">Kuwait</option>
      <option value="Kyrgyzstan">Kyrgyzstan</option>
      <option value="Lao People's Democratic Republic">Lao People's Democratic Republic</option>
      <option value="Latvia">Latvia</option>
      <option value="Lebanon">Lebanon</option>
      <option value="Lesotho">Lesotho</option>
      <option value="Liberia">Liberia</option>
      <option value="Libyan Arab Jamahiriya">Libyan Arab Jamahiriya</option>
      <option value="Liechtenstein">Liechtenstein</option>
      <option value="Lithuania">Lithuania</option>
      <option value="Luxembourg">Luxembourg</option>
      <option value="Macao">Macao</option>
      <option value="Macedonia, the Former Yugoslav Republic of">Republic of Macedonia</option>
      <option value="Madagascar">Madagascar</option>
      <option value="Malawi">Malawi</option>
      <option value="Malaysia">Malaysia</option>
      <option value="Maldives">Maldives</option>
      <option value="Mali">Mali</option>
      <option value="Malta">Malta</option>
      <option value="Marshall Islands">Marshall Islands</option>
      <option value="Martinique">Martinique</option>
      <option value="Mauritania">Mauritania</option>
      <option value="Mauritius">Mauritius</option>
      <option value="Mayotte">Mayotte</option>
      <option value="Mexico">Mexico</option>
      <option value="Micronesia, Federated States of">Federated States of Micronesia</option>
      <option value="Moldova, Republic of">Republic of Moldova</option>
      <option value="Monaco">Monaco</option>
      <option value="Mongolia">Mongolia</option>
      <option value="Montenegro">Montenegro</option>
      <option value="Montserrat">Montserrat</option>
      <option value="Morocco">Morocco</option>
      <option value="Mozambique">Mozambique</option>
      <option value="Myanmar">Myanmar</option>
      <option value="Namibia">Namibia</option>
      <option value="Nauru">Nauru</option>
      <option value="Nepal">Nepal</option>
      <option value="Netherlands">Netherlands</option>
      <option value="Netherlands Antilles">Netherlands Antilles</option>
      <option value="New Caledonia">New Caledonia</option>
      <option value="New Zealand">New Zealand</option>
      <option value="Nicaragua">Nicaragua</option>
      <option value="Niger">Niger</option>
      <option value="Nigeria">Nigeria</option>
      <option value="Niue">Niue</option>
      <option value="Norfolk Island">Norfolk Island</option>
      <option value="Northern Mariana Islands">Northern Mariana Islands</option>
      <option value="Norway">Norway</option>
      <option value="Oman">Oman</option>
      <option value="Pakistan">Pakistan</option>
      <option value="Palau">Palau</option>
      <option value="Palestinian Territory, Occupied">Palestinian Territory</option>
      <option value="Panama">Panama</option>
      <option value="Papua New Guinea">Papua New Guinea</option>
      <option value="Paraguay">Paraguay</option>
      <option value="Peru">Peru</option>
      <option value="Philippines">Philippines</option>
      <option value="Pitcairn">Pitcairn</option>
      <option value="Poland">Poland</option>
      <option value="Portugal">Portugal</option>
      <option value="Puerto Rico">Puerto Rico</option>
      <option value="Qatar">Qatar</option>
      <option value="Reunion">Reunion</option>
      <option value="Romania">Romania</option>
      <option value="Rwanda">Rwanda</option>
      <option value="Saint Barthelemy">Saint Barthelemy</option>
      <option value="Saint Helena">Saint Helena</option>
      <option value="Saint Kitts and Nevis">Saint Kitts and Nevis</option>
      <option value="Saint Lucia">Saint Lucia</option>
      <option value="Saint Martin (French part)">Saint Martin</option>
      <option value="Saint Pierre and Miquelon">Saint Pierre and Miquelon</option>
      <option value="Saint Vincent and the Grenadines">Saint Vincent and the Grenadines</option>
      <option value="Samoa">Samoa</option>
      <option value="San Marino">San Marino</option>
      <option value="Sao Tome and Principe">Sao Tome and Principe</option>
      <option value="Saudi Arabia">Saudi Arabia</option>
      <option value="Senegal">Senegal</option>
      <option value="Serbia">Serbia</option>
      <option value="Seychelles">Seychelles</option>
      <option value="Sierra Leone">Sierra Leone</option>
      <option value="Singapore">Singapore</option>
      <option value="Sint Maarten">Sint Maarten</option>
      <option value="Slovakia">Slovakia</option>
      <option value="Slovenia">Slovenia</option>
      <option value="Solomon Islands">Solomon Islands</option>
      <option value="Somalia">Somalia</option>
      <option value="South Africa">South Africa</option>
      <option value="South Georgia and the South Sandwich Islands">South Georgia and the South Sandwich Islands</option>
      <option value="South Sudan">South Sudan</option>
      <option value="Spain">Spain</option>
      <option value="Sri Lanka">Sri Lanka</option>
      <option value="Sudan">Sudan</option>
      <option value="Suriname">Suriname</option>
      <option value="Svalbard and Jan Mayen">Svalbard and Jan Mayen</option>
      <option value="Swaziland">Swaziland</option>
      <option value="Sweden">Sweden</option>
      <option value="Switzerland">Switzerland</option>
      <option value="Taiwan">Taiwan</option>
      <option value="Tajikistan">Tajikistan</option>
      <option value="Tanzania, United Republic of">United Republic of Tanzania</option>
      <option value="Thailand">Thailand</option>
      <option value="Timor-Leste">Timor-Leste</option>
      <option value="Togo">Togo</option>
      <option value="Tokelau">Tokelau</option>
      <option value="Tonga">Tonga</option>
      <option value="Trinidad and Tobago">Trinidad and Tobago</option>
      <option value="Tunisia">Tunisia</option>
      <option value="Turkey">Turkey</option>
      <option value="Turkmenistan">Turkmenistan</option>
      <option value="Turks and Caicos Islands">Turks and Caicos Islands</option>
      <option value="Tuvalu">Tuvalu</option>
      <option value="Uganda">Uganda</option>
      <option value="Ukraine">Ukraine</option>
      <option value="United Arab Emirates">United Arab Emirates</option>
      <option value="United Kingdom">United Kingdom</option>
      <option value="United States Minor Outlying Islands">United States Minor Outlying Islands</option>
      <option value="Uruguay">Uruguay</option>
      <option value="Uzbekistan">Uzbekistan</option>
      <option value="Vanuatu">Vanuatu</option>
      <option value="Venezuela">Venezuela</option>
      <option value="Viet Nam">Viet Nam</option>
      <option value="Virgin Islands, British">Virgin Islands, British</option>
      <option value="Virgin Islands, U.S.">Virgin Islands, U.S.</option>
      <option value="Wallis and Futuna">Wallis and Futuna</option>
      <option value="Yemen">Yemen</option>
      <option value="Zambia">Zambia</option>
      <option value="Zimbabwe">Zimbabwe</option>
    </select>
  </div>
  <div class="marketo-form-field"><label for="License_Count__c" class="mrkto_select_lbl">How many licenses will you need?<span class="requiredAsterix">*</span></label> <select id="1298_License_Count__c" class="mrkto_select" name="License_Count__c"
      required="" oninvalid="setCustomValidity('This field is required.)" oninput="setCustomValidity('')">
      <option value="">Select...</option>
      <option value="1">1 User</option>
      <option value="2">2 to 10</option>
      <option value="11">11 to 20</option>
      <option value="21">21 to 50</option>
      <option value="51">51+</option>
    </select>
  </div>
  <div class="marketo-form-field"><span>By filling out this form and clicking submit, you acknowledge our<span>&nbsp;</span></span><a href="https://www.pluralsight.com/privacy" target="_blank">privacy policy</a><span>.</span>
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  <div class="marketo-form-field"><input type="hidden" id="1298_UTM_Source__c" class="mrkto_hidden" name="UTM_Source__c">
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  <div class="marketo-form-field"><input type="hidden" id="1298_UTM_Medium__c" class="mrkto_hidden" name="UTM_Medium__c">
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  <div class="marketo-form-field"><input type="hidden" id="1298_UTM_Campaign__c" class="mrkto_hidden" name="UTM_Campaign__c">
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  <div class="marketo-form-field"><input type="hidden" id="1298_mcvisid__c" class="mrkto_hidden" name="mcvisid__c">
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  <div class="marketo-form-field"><input type="hidden" id="1298_Click_ID__c" class="mrkto_hidden" name="Click_ID__c">
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  <div class="marketo-form-field"><input type="hidden" id="1298_Electronic_Person__c" class="mrkto_hidden" name="Electronic_Person__c">
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  <div class="marketo-form-field"><button type="submit" class="mrkto_submit">Submit</button> <input type="hidden" name="formid" value="1298">
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</form>

<form id="customMarketo_1041" data-mkto-id="1041">
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  </div>
  <div class="marketo-form-field"><input type="hidden" id="1041_UTM_Source__c" class="mrkto_hidden" name="UTM_Source__c">
  </div>
  <div class="marketo-form-field"><input type="hidden" id="1041_UTM_Medium__c" class="mrkto_hidden" name="UTM_Medium__c">
  </div>
  <div class="marketo-form-field"><input type="hidden" id="1041_UTM_Campaign__c" class="mrkto_hidden" name="UTM_Campaign__c">
  </div>
  <div class="marketo-form-field"><input type="hidden" id="1041_UTM_Content__c" class="mrkto_hidden" name="UTM_Content__c">
  </div>
  <div class="marketo-form-field"><input type="hidden" id="1041_UTM_Term__c" class="mrkto_hidden" name="UTM_Term__c">
  </div>
  <div class="marketo-form-field"><input type="hidden" id="1041_Click_ID__c" class="mrkto_hidden" name="Click_ID__c">
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  <div class="marketo-form-field"><input type="hidden" id="1041_mcvisid__c" class="mrkto_hidden" name="mcvisid__c">
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  <div class="marketo-form-field"><input type="hidden" id="1041_Electronic_Person__c" class="mrkto_hidden" name="Electronic_Person__c">
  </div>
  <div class="marketo-form-field"><input type="checkbox" id="1041_Single_Opt_In__c" class="mrkto_checkbox" name="Single_Opt_In__c" value="yes"> <label for="1041_Single_Opt_In__c" class="mrkto_checkbox_lbl">I would like to receive emails from
      Pluralsight</label>
  </div>
  <div class="marketo-form-field"><button type="submit" class="mrkto_submit">Submit</button> <input type="hidden" name="formid" value="1041">
  </div>
</form>

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CONTACT SALES

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 1. Blog
 2. AI & Data


BREAKING INTO TOP TECH JOBS: HOW TO BECOME A DATA SCIENTIST

Want to be a data scientist? Here's the key data science skills, tools (like
Python and SQL) and resume strategies you need to build a portfolio and get
hired.

By Srujana Maddula

Nov 9, 2024 • 6 Minute Read


 * AI & Data

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So, you want to begin your data science career, but don’t know where to start?
Not a problem—I’ve written this handy guide on how to land a job in data
science, full of career tips and tricks to help you along the way.

 * Learn the required skills
 * Build projects (and engage in competitions)
 * Network and apply for Jobs
 * Into the world of Data Science


LEARN THE REQUIRED SKILLS


Data science is the field of extracting valuable insights from raw data, which
can be used in business decision-making. To do that, a data scientist needs to
have a wide range of technical skills, including statistics, machine learning,
natural language processing, and the rapidly growing field of Gen AI. 

Overwhelmed by that list of requirements? Don’t worry! Just like any other
field, you can pick these skills up as you go along, and some are more critical
than others. To that end, here is a list of seven key skills you should focus on
as an entry-level data scientist. 

As you go through this list, just remember the old proverb: “A journey of a
thousand miles begins with a single step.” Learn one thing at a time, and after
a while you’ll be surprised how far you’ve come.


1. FOUNDATIONAL MATH 

Math is the bread and butter of being a data scientist. All machine learning
models and algorithms are fundamentally built on mathematical principles, and as
your data science career progresses, you’ll use many advanced math techniques.
To get started, though, focus on foundational algebra and statistics concepts.


2. PYTHON PROGRAMMING

According to industry research, between 62% to 77% of all data science job
postings require Python. The reason? It has a vast number of libraries specific
to data science and machine learning.

As an aspiring data scientist, you should learn not only Python, but also become
familiar with its data manipulation libraries (pandas, NumPy, and Matplotlib)
and ML packages (scikit-learn, Keras, and Tensorflow). Here is a step by step
guide to learn Python programming for data science. 


3. SQL

SQL is another must-have skill for any data science career, whether as a data
analyst, business analyst, or data scientist, since it lets you access and
manipulate data stored in relational databases. Check out this SQL introductory
course for data manipulation.


4. DATA EXPLORATION AND VISUALIZATION

Data preparation is a crucial step in any data science project. The process
involves analyzing and visualizing data to identify key insights and patterns.
You might also manipulate the data in this step to make it suitable to your use
case. This is where you will use the Pandas, Numpy, Seaborn, and other library
skills you learned before. 

In addition to Python packages, sophisticated tools like Power BI and Tableau
can be used to build compelling visualizations. 

To develop these skills, check out this course on exploratory data analytics
techniques in Python. Also, try this free data visualization course in Python.
It covers all essential data visualization techniques and how to implement them.


5. MACHINE LEARNING AND DEEP LEARNING 

These are often the most exciting parts of data science to learn! Machine
learning contains math algorithms to create data models that can predict future
outcomes, enhancing business decision-making. Meanwhile, deep learning is a step
further to machine learning that uses more powerful techniques like artificial
neural networks to make predictions.

To start learning ML, here is a complete machine learning path you can take,
starting with the basics all the way to advanced topics. For deep learning,
there’s a similar path you can check out.


6. NATURAL LANGUAGE PROCESSING

Text is the most common format in human communication. Natural language
processing enables computers to understand the text data and extract meaningful
insights from it, which is why this sub-field is on the rise in the data
industry. This technology has also become the base for the most popular
text-handling AIs like Chat GPT, BARD, and Gemini. 

As a data practitioner, you should at least have a basic understanding of this
technology and its various text-handling techniques. If you want to cover all
parts of natural language processing, from basic to advanced, check out this
structured learning path. However, if you feel the basics are enough, get
started with natural language processing here. 


7. BIG DATA 

With data generation expected to reach 180 zettabytes by 2025, data
professionals often need to handle massive data. Thankfully, technologies like
Apache Spark, Apache Hadoop, Elasticsearch, and Hive in the Big data ecosystem
have made it easy for data practitioners to process big data quickly at scale. 

To learn the fundamentals of big data and about the different management and
processing tools available, check out this big data course. You can also learn
the complete AWS big data ecosystem with this organized learning path. 



BUILD PROJECTS (AND ENGAGE IN COMPETITIONS)

One of the best ways to reinforce all you’ve learned—and showcase your skills—is
to create your own data science projects. Using a your work provided or
individual professional Pluralsight subscription provides access to hands-on
labs you can use to build up your data science skills and portfolio to get a
foot in the industry.


START YOUR DATA SCIENCE PORTFOLIO

You can use what you've learned from online courses and hands-on labs to create
your own portfolio of projects. Start by using open-source datasets like those
on Github. If you're interested in the cinema industry, for example, you could
analyze a movie dataset to uncover valuable insights such as box office trends,
audience preferences, or genre popularity. 

Once you are comfortable handling and analyzing data, start with
industry-specific projects. A site like Kaggle also has numerous open-source
data sets of different types in different fields, which you can pick and
analyze. If you are interested in building end-to-end projects using
health-specific or big retail datasets, you can find them here.


USE KAGGLE FOR FREE DATA SCIENCE COMPETITIONS

Kaggle is also the go-to place for anyone interested to participate in worldwide
data competitions for free. In aditino to their well-known competitions, Kaggle
has tons of interesting data problem statements that you can solve and add to
your resume. 


NETWORK AND APPLY FOR JOBS

Networking is one of the most important skills you can develop for starting (and
advancing) any tech career, not just in data science. Here are some steps you
can take:

Build an online presence: I highly recommend you to be active on LinkedIn and
other professional communities as the first step to building the professional
network that might help you with an opportunity to land your dream job or
project.

Attend events and conferences: Many companies conduct data conferences and
professional events to share knowledge and industry trends. Attending these will
keep you updated with what’s happening in the industry and, of course, make new
friends in the event.  

Search online job portals: With the mentioned data skills, you will be eligible
to apply for data analyst, data scientist, business analyst, and BI developer
roles. Apply for them on different job portals like Indeed, Monster,
ZipRecruiter, LinkedIn, and others. Just a heads up, job searching can be a
tiring task, and never giving up is the only key for success here. 


INTO THE WORLD OF DATA SCIENCE 

The fact that you've reached the end of this long article is a good sign that
you've got clear steps to get into a data science career. Data science is a
highly rewarding profession where you work on industry problems using tech, and
you can witness your impact on the organization's growth. 

Srujana M.

Srujana is a seasoned technical content writer who specializes in data
integration and analysis, and previously worked as a data scientist at Target.
She develops thoroughly researched content to uncover insights and offer
actionable solutions to help organizations navigate and excel in the complex
data landscape.

More about this author



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