How to prepare for Data Science/ Analytics companies

Roadmap for Data Science / Analytics Companies

Here you’ll find the roadmap for getting Jobs in Data Science / Analytics companies (i.e. Zs Associates, Mu Sigma, Fractal Analytics, The Math Company, Flipkart, Amazon, etc.)

What is Data Science/Data Analytics?

Data science/data analytics is the field that involves extracting insights and knowledge from large and complex data sets using various techniques such as statistical analysis, machine learning, and data visualization. It focuses on uncovering patterns, trends, and correlations to make informed decisions and predictions, ultimately driving business growth and innovation.

Who are Data Scientists/Data Analysts?

Data scientists and data analysts are professionals who extract meaningful insights from large volumes of data. Data scientists use advanced statistical and machine-learning techniques to build predictive models and solve complex problems. Data analysts focus on organizing, cleaning, and visualizing data to uncover trends and patterns. Both roles play a crucial part in leveraging data to inform business decisions and drive innovation.


Below we have shared :

  1. Roadmap for preparation
  2. Direct Links to courses

Click the button given below to download the Detailed Roadmap for Data Science / Data Analytics Jobs. 

Roadmap For Data Science / Data Analytics Jobs

Further on this page, we have given some suggestions to start your preparation for Jobs in Data Science / Data Analytics Companies.

Languages / Technologies

Programming languages and related technologies are essential for creating software, websites, and applications, enabling us to automate tasks, solve complex problems, and innovate in various fields of technology and industry.
Below are some main Languages and Technologies that are needed to learn for getting ready for Jobs in Data Science / Data Analytics Companies.

Click on the links to access the modules.

Coding Skills

From managing personal finances with spreadsheet formulas to automating tasks, coding skills enable efficiency and problem-solving.
Understanding code empowers individuals to navigate the digital world, create websites, analyze data, and develop innovative solutions.
We have created a complete module for this.
Click on the topics below to access all the practice content:

Aptitude Basics

This is the most important thing that you should be good at. Because companies will test your Mathematical, Logical, and Verbal Abilities before testing your Technical Skills.
This acts as a filter for the companies, usually asked in the 1st round of any placement drives.
We have created modules for each of the topics.
Click on the link below to access the modules:

Soft Skills

Soft skills are crucial for personal success. They enhance communication, teamwork, adaptability, and leadership, making individuals more employable and effective in their roles. We have created modules for this as well.
Click on the topics below to access the syllabus.

Technical Skills

Skill basically enhances the knowledge, competencies, and abilities to perform operational tasks. We have created dedicated modules for you that will help you in mastering the skills. Once you complete these modules you’ll be experienced enough to give the Data Science/Analytics companies exams.
Here are the modules link:

Learning Outcomes

The following skills will be acquired after studying all of the Data Science / Data Analytics related subjects:

  1. Data-driven decision-making.
  2. Data-driven problem-solving.
  3. Predictive modeling and Data visualization.
  4. Machine learning.
  5. Big data processing.
  6. Statistical analysis.
  7. Data cleaning and preprocessing.
  8. Optimization and efficiency.

Company Specific Courses

Once you complete the above modules we will suggest you, to practice the previous year’s papers from the below courses, which are having some additional videos for you to watch as well depending on the companies like –

You can also explore other courses from Home Page under Service-Based / Product-Based Companies carousels.

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