Data analyst is set to provide new opportunities at the beginning of 2024. Read here to learn the learning path for a roadmap to becoming a data analyst.
Data analyst roadmap: 2024 is set to welcome artificial intelligence and new technologies with new opportunities and challenges. However, data analytics is an evergreen field that will continue to provide new career growth opportunities with efficient techniques in the coming years.
With the advent of new trends and technologies, there will be more improvement in data analyst techniques and a greater need for expert data analytics. Hence, the need for a clear map is mandatory. Well, this article will complete the candidate’s wish with an important data analyst roadmap and learning path for completing data analytics in 2024.
Data Analyst Roadmap 2024
Becoming a data analyst requires proper planning. With technological advancement, candidates also need to keep themselves updated with the latest technologies and integrate them into their curriculum. Learning data analytics requires candidates to have important skills such as programming knowledge, database knowledge, SQL handling, communication skills, statistics, etc. Read the whole story covering the complete data analyst roadmap here.
Also Read: Top 10 Must Use AI Tools for Data Analysis [2024 Edition]
Why a Career as a Data Analyst in 2024?
In recent years, there has been a rapid expansion in the data and information we extract from this real-time streaming data. People are looking for data analyst jobs in 2024 due to its increasing popularity and the opportunities it provides.
Major industries like Amazon, Google, Microsoft, etc. are looking for experts who can collect, process, visualise, and develop effective storage techniques for managing this big, real-time streaming data. Let us dive into the reasons for learning to be a data analyst in 2024.
- High demand: This skill is in high demand in all the major industries, as almost all industries nowadays use complex data to extract useful information. Skilled data analyst who can handle this complex data and derive important information from it.Â
- Competitive Salaries: A data analyst job is tough and requires constantly generating effective techniques to handle large amounts of data with the help of their skills. Hence, they are offered competitive salaries. However, the salaries offered vary depending on the companies and their strengths.Â
- Career Growth and Opportunities: This job role contains many new opportunities for career growth. Handling such a large and complex amount of data helps them learn through new challenges.Â
- Predictions and Impactful Insights: Important insights and information can be generated with the help of patterns, trends and predictions based on data and its arrangements.
- Job Satisfaction: Candidates working as data analysts are well happy with their jobs. A data analyst role provides a good work-life balance.
- Continuous learning: Learning is the most important part of this job profile. Candidates working in data analytics must keep themselves updated with the latest tools, skills and technological advancements.
Also Read: AI and Predictive Analytics: Examples, Tools, Uses, Ai Vs Predictive Analytics
Data Analyst Roadmap: Important Skills For Data Analyst In 2024Â
Data analysts require some major skills to carry out their work and keep themselves updated with the latest trends and current advancements in different technologies.Â
1. Knowledge of Programming Languages
Some of the important programming language skills are Python, R, SQL, etc. Knowing a programming language is important for the data analysis roadmap. It is important for data manipulation, processing, analysis, and automation. Various libraries and module frameworks help with data analysis.Â
2. Data Visualizations and Exploration
Using various tools and techniques to visualise data and information with the help of graphs, charts, etc. Identifying data patterns and relationships is important in data analysis.
3. Mathematics and Statistics
Knowledge of mathematics concepts such as calculus, probability, measurements, statistics, etc, is required for performing complex calculations and problem-solving.
4. Database Management
Handling relational queries and SQL to manage relational tables effectively. SQL is one of the widely accepted programming languages used for database management. However, non-SQL techniques are also being used nowadays.
5. Problem-solving and Analytical SkillsÂ
A data analyst must have effective problem-solving techniques based on an effective logical approach. With the help of logical thinking and decision-making, complex problems can be broken into smaller parts that can be handled individually. Strong analytical skills are often required for solving such complex problems and extracting information from them.
6. Communication SkillsÂ
Effective communication skills for conveying important information in the best way possible with the team and stakeholders. Explaining complex algorithms and analysis is important to help the team collaborate effectively with the project and understand the objective properly.
Stepwise Learning Data Analysis Roadmap in 2024Â
Let us go through the important roadmap for learning data analysis in 2024.
Step 1: Learning FundamentalsÂ
The three important fundamentals for learning data analysis are programming, mathematics and statistics. Candidates who have done their bachelor’s with a technical background in computer science must have solid technical knowledge of these fundamentals. However, non-technical backgrounds need to strengthen these techniques first.
Candidates must have good practice and be well aware of the basics of data, their importance and their uses. Candidates can start by learning one programming language and polishing their mathematics and statistics skills.
Step 2: Earn Qualifications and Certifications
Candidates must obtain the necessary qualifications required for data analytics. Candidates can pursue a bachelor’s in computer science with a specialisation in Data analytics. Also, learning certifications with real-time assignments and quizzes provided by recognised organisations such as Google, Microsoft, Coursera, etc must be obtained.
Join our Data Analytics Course to learn data collection, processing, visualization and optimization techniques with relevant projects, doubt and placement assistance. Be quick and start your career in Data Analytics with PW Skills.
Step 3: Work on Real Time Projects and Internships
Candidates can work on individual and group projects to help develop their skills in data analytics. Solving real-world problems and practicing data analysis can help in providing real time expertise and experience. Also, candidates must join an internship with real-time projects under the supervision of mentors to work on various processes to increase their skills in data analysis.
Our data analysis course provides real-time project management under the supervision of industry-level experts and doubt sessions to help with any supervision required during the project development. Join our Data analysis course at PW Skills.Â
Step 4: Practice with free datasets available onlineÂ
Many websites provide important free datasets for students to practice on various projects. Some important websites are Kaggle, Google Dataset Research, etc. Use these free resources to work and practice on various individual projects.
Step 5: Create A Portfolio For Data Analysis
Now at this point, candidates must start working on their personal data analytics portfolio. It is important to have a portfolio consisting of projects you have worked on. Candidates can step into the job market and potential recruiters with the help of their portfolio. Update the important skills and qualifications achieved in recent years and strengthen your connection with potential recruiters. Improve your connections on LinkedIn, Shine, Naukri, etc, to find new opportunities.Â
Step 6: Create a Data Analysis Resume
Create a relevant resume mentioning all your major skills, qualifications, certifications, and achievements. A resume creates the first point of contact with potential recruiters. The resume must not be lengthy and only mention relevant skills and qualifications. We also help learners and candidates by providing them with effective resume preparation through our course at PW Skills.
Step 7: Start Applying for Entry-level Data Analysis Jobs
Now, start applying through various platforms, such as LinkedIn, Naukri, Internshala, and others, to discover new opportunities. Candidates can also apply directly on the company’s portal. Also, sending cold mail to recruiters can help you grab the opportunity at the right time. Keep your resume updated while applying and be prepared for the interview.
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Data Analyst Roadmap FAQs
Is data analysis worth it in 2024?
Major industries like Amazon, Google, Microsoft, etc. are looking for experts who can collect, process, visualise, and develop effective storage techniques for managing this big, real-time streaming data. There will be an increase in growth opportunities in data analysis.
What are the major skills required for data analysis?
Some major skills required for data analysis are given below:
Programming skills
Big data
Datasets
Database management
Data cleaning and wrangling
Debugging
SQL
Statistics
Data storytelling
What are the seven stages of the learning data analysis roadmap in 2024?
The seven important stages of learning data analysis are mentioned here:
Learn fundamental skills
Earn qualifications and certifications
Work on real time projects
Practice with datasets available for free online
Create a portfolio
Resume
Start applying
