Start your journey as a Data Analyst in specialised domains of Automotive, Banking and Consumer Industry.
Nanodegree Programs are industry-recognized credential premeditated for students to groove their skills or establish their career. With the cooperative effort of our proficient teams and industry leaders, Nanodegree Programs are curated to provide a proactive learning skill of forthcoming and contemporary computer technologies.
Nanodegree Program focuses broadly on job-readiness and covers every fundamental skill required to becoming successful in your career. The Nanodegree Programs profoundly focus on present industry necessities and career outcomes. The Nanodegree Programs are divided into topic-wise modules which in turn comprise of short video lectures, exercises, quizzes, and projects to enhance the conception of the topic. The courses are imparted by highly intellectual mentors who have appropriate industrial experience. Industry-relevant in the curriculum certifies that the students are prepared to take up industrial challenges. The Nanodegree programs enable students to network one-on-one with various industry experts as a form of mentorship support to the students.
More than 97,000 analytics positions remain vacant in India due to the shortage of talent.
Opportunities for freshers have also increased with openings for them accounting for 21% of analytics jobs, compared to 17% last year.
Hari Krishnan Nair, Co-founder, Great Learning said: A 45% increase in the supply gap in just one year indicates the pace at which businesses are adopting analytics and data-based decision making.
According to the report, the median salary being offered for analytics jobs in India is INR 11.5 lakhs/annum.
Around 23% of all advertised jobs last year we're offering more than INR 15 Lakhs as opposed to 20% a year ago.
According to the report, demand for Python is the highest amongst all the recruiters.
Currently, more than 75,000 jobs for data analysts in India are vacant!
Data analysts with more than 5 years of experience often earn up to 15 lakhs per annum.
To start from scratch! And make you gain all major skills to be a successful data analyst.
To make you feel motivated and encouraged and gather the theoretical background knowledge necessary for the learning process of python and data analytics.
To make you understand the data. To make you understand the requirements and to make your experience, how you can use your domain to upskill your job opportunities.
Download the full curriculum with topics and units explanation attached with the set of DIYguru EV Nanogree Projects in this course.
This programme is tailored to help you improve your engineering skills as a student, recent graduate, or working professional with following expertise.
The curriculum is designed by the industry experts working in core Data Analytics roles in EV and automobile companies.
It covers in-depth domain knowledge along with understanding of industry specific tools to train students for engineering roles in the industry. The program has 150+ hours of teaching and 50+ hours of project work delivered through a combination of sessions and assessments.
In this course, students will be introduced to the python programming language and the concept of data analysis. How data analysis has become one of the most important skills for students in different areas. How data analysis and Python, is useful in every domain, ranging from mathematics to physics, from computer science to electrical engineers. Every second company works with data, and so, requires, professionals, who can understand their data and can play with them! This course will bring out the understanding and motivation to start a career in data analysis using python.
This course will focus on the basics of the python language. Since python is currently the most used language for data analysis, it is essential to cover all basics of python language. This course will start from level zero and will take students to the level, where students could program independently and implement the concept of variables, user inputs, loops, error handling, operations, conditionals, functions, and statements. Students will be working on the number of assignments and develop smart programs. The focus will be to bring confidence among students, to upskill themselves to higher python programming expertise.
Working with python basics will give students to flexibility to upskill and upgrade their python knowledge to a higher level. This will give you more understanding of analyzing and manipulation data with python concepts in more detail. This course will take the student’s expertise to the next level, where students would be able with more advanced examples and more sophisticated concepts. The students will work on essential concepts of strings, file systems, lists, dictionaries, and tuples. Moreover, the students will work with a large number of examples and will be given numerous tasks and assignments. These courses will enable students to analyze and work with apparently endless data! students will be able to work independently over a large number of sophisticated applications. These data structures will build a strong foundation for the ideal start of data analytics.
The course on advanced python will enable students to be ideal candidates for python developer profiles. This course will help students to think beyond the commonly used algorithms and concepts. Students will be able to work on topics, such that, they could retrieve and process databases right from the web! Students will work, extract, and access the data from the web APIs. In order to access different data forms, students will be taught the art of ‘regular expressions’ so as to define their own formula to retrieve the text from the thousands of data lines over any website. Students will work on different protocols and will implement their learning ver different web data formats. Students will be introduced the concept of OOPs programming in python and SQL.
With the perfect knowledge in the python programming language, here comes the perfect time to make the transition into the domain of data analytics. The beginning of the course will enable students to recollect and revise the previously learned python structures, necessary to begin with data analytics. One of the most important libraries to be able to understand data is the library Numpy. Understanding data in the form of arrays and accessing them and manipulating them in array form will give you the foundation to learn higher-level libraries incoming courses. This course will focus on giving students that essential foundation. The students will then dive into the heart of analysis! The pandas! Students will cover the concepts of series, data frames, and performing essential operations and manipulations indexing, filtering, sorting, correlating arithmetic, and so on.
If you want to be a successful data analyst, you need to have a strong foundation in statistics. We offer a comprehensive course on statistics for data analytics that covers everything you need to know to become an expert in the field.
Descriptive and inferential statistics: Understand how to summarize and analyze data using various statistical techniques.
Probability: Learn the fundamentals of probability theory and how it applies to data analysis.
Hypothesis testing: Learn how to test hypotheses and make inferences about data.
Regression analysis: Understand how to build regression models and analyze relationships between variables.
Time series analysis: Learn how to analyze time series data and make predictions.
Machine learning: Get an introduction to machine learning algorithms and how they’re used in data analytics.
In this course, students will work more extensively on analyzing data.students will work on the main areas of data loading, cleaning, preparation, data wrangling, transforming data, and data aggregation. The actual analysis comes here! Students will work on numerous examples, and will continuously work on random datasets to see how each function is applicable. This course will cover the actual analysis of datasets and will be able to apply the functions and algorithms in any possible manner based on their requirements. Finally, students will cover the concept of ‘time-series’ enabling students to analyze stuff in different terms of time intervals.
Data visualization is a powerful tool for understanding and communicating complex data sets. Our course on visualization for data analytics, including dashboards, will teach you how to create compelling visualizations and dashboards that bring data to life.
Principles of data visualization: Understand the principles of data visualization, including data encoding, color theory, and visual perception.
Types of visualizations: Learn the different types of visualizations and when to use them, including bar charts, line charts, scatter plots, and more.
Design principles: Understand the design principles of effective dashboards and visualizations, including layout, typography, and use of space.
Data preparation: Learn how to prepare data for visualization, including data cleaning, transformation, and aggregation.
Dashboard creation: Learn how to create interactive dashboards that allow users to explore and analyze data in real-time.
Dashboard deployment: Understand the process of deploying dashboards to different platforms and sharing them with stakeholders.
Download the full curriculum with topics and units explanation attached with the set of DIY Projects in this course.
Download the full list of project and choose your desired project, we will help you assign a mentor to complete.
Download the project list of project eligible in this course
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Individual Courses can be done online mode only. To attend offline class you need to enroll for either Specialization, Nanodegree or PG Diploma program.
DIYguru centers are located in Delhi, Pune, Bangalore, Nepal, Bangladesh, Malaysia and Germany. To see the address, check Contact section of website.
Yes, all the individual courses, Nanodegree Programs, Specialization Programs and PG Programs are govt. approved.
NEAT (National Education Alliance for Technology) - AICTE, Ministry of Education, Govt. of India & ASDC, Automotive Skills Development Council.
Min. 12th pass can undergo this course. Students and Working Professionals with ITI, Diploma, BE / B.Tech or equivalent in domains such as Automotive, Mechanical, Electrical, Electronics can pursue this course.
One Month, however in case you are unable to finish the course in one month, you can request for an extension here - Contact.
One Project (Mandatory) + One Project (Optional)
No. For Practical Hands on Training, you need to enroll for either Specialization, Nanodegree or PG Diploma Program.
Yes, DIY KITs are available for this course, To avail it simply click on enroll button and it will shpw you the option of purchasing course specific DIY KIT.
Admission fee for this course is 5000 INR / 60 USD
During checkout, you will get the option of paying in EMI
You will be given 1 month access to this course, to get lifetime access, you need to pay 10,000 INR / 120 USD.
Admission process for individual courses is direct online, there is no requirement of any screening test. However for Nanodegree and PG programs, you need to appear for test before taking admission.
You can avail project based internship for this course upon successfull completion.
The internship after the completion of course is unpaid.
Placement assistance in terms of access to the Job portal will be provided, and you will be added to the weekly job update newsletter section to receive opportunities available in our partner companies.
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If you’re a current student, please get in touch through the DIYguru dashboard to ask about more details of this Program.
Please note, eligibility for this course is reserved to students who have done related projects and have relevant profiles matching with the pre-requisite of this course.
The DIYguru team hold the right to cancel your admisssion into the program without any explanation via email if found unsuitable and unfit.
Our 7-day money-back guarantee starts from the moment of signup and runs through the free week. Cancellations between days 7 and 30 will get a prorated refund.
Fees for the program is charged only when the admission is approved.
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