Alma better data science

AlmaBetter's robust curriculum is ideal for every data science enthusiast. The quality of content is impeccable, and the curriculum is structured to perfection for a seamless learning experience. We strive to provide you with the most detailed and updated Data Science educational program and diversify your skillset. We have also collaborated with multiple hiring partners to provide high paying jobs to the students. Let's discuss each module one by one: In the first module, you will learn the fundamentals of Python programming, understand various data structures in Python and get yourself familiar with object-oriented programming. Next, you will learn to do exploratory data analysis (which is almost 60% of what a Data Scientist does) using libraries such as NumPy and Pandas. Finally, you will learn to do Data Visualization using popular libraries such as Matplotlib and Seaborn. In the second module, you will be learning popular analytics tools such as SQL, Excel and Tableau. In the third module, you will learn all the essential mathematics required for Data Science. You will learn mathematical concepts such as Calculus, Linear Algebra, Probability & Statistics. These concepts will be covered through visual experiments and hence, even if you have not studied mathematics in the past, you will be able to understand all the concepts easily. In the fourth module, you will learn about a special class of Machine Learning algorithms known as Supervised machine learning, where you w...

As a Data Science Trainee at AlmaBetter, I am proficient in a variety of data science tools including Python, SQL, Tableau, and Excel. With expertise in supervised and unsupervised machine learning, I have developed predictive models for various use cases such as customer segmentation, demand prediction, and price range prediction. I have also published articles on the applications of machine learning in healthcare, logistics, and tourism. Prior to my training, I worked as a Team Leader and Production Analyst at Mahindra and Mahindra Tractor factory, where I collected and analyzed data on production processes and developed standard operating procedures. With a Bachelor's degree in Engineering, I have achieved a Gold Badge in SQL and Python on HackerRank. I am passionate about exploring new technologies and using data to drive insights and improve business performance. Activity As a Team Leader and Production Analyst at Mahindra and Mahindra Tractor factory, I gained experience in data analysis and process improvement. I collected and analyzed data on production processes, developed SOPs, and created reports and dashboards to track performance and identify areas for improvement. My work contributed to the company's success and helped me develop skills in data analysis and process optimization. Education • العربية (Arabic) • Čeština (Czech) • Dansk (Danish) • Deutsch (German) • English (English) • Español (Spanish) • Français (French) • हिंदी (Hindi) • Bahasa Indonesia (Indo...

In this blog, instead of getting into mathematics, we are going to cover the top 5 real-time use cases in the industry with respect to ANOVA. Don’t hesitate to refer to these examples when someone asks you for a real-time example of ANOVA. What is an ANOVA? ANOVA stands for Analysis of Variance. It is a statistical technique used to test whether there are significant differences between the means of two or more groups. The two most common types of ANOVAs are the one-way ANOVA and two-way ANOVA. A one-way ANOVA is used to determine how one factor impacts a response variable. For example, we might want to know if three different groups of students have different mean GPAs. To see if there is a statistically significant difference in mean GPAs, we can conduct a one-way ANOVA. A two-way ANOVA is used to determine how two factors affect a response variable and whether or not the two factors interact with the response variable. For example, we might want to know how different types of food and how different levels of metabolism impact average weight loss. We would conduct a two-way ANOVA to find out. There are different ANOVA tests like three-way ANOVA & four-way ANOVA which are not well known and are uncommon but we will not talk about them in much detail in this blog. Now, we will share four different examples of real-life applications of ANOVA with examples. Real-time Use Case #1 An ANOVA test would most likely be used in a manufacturing plant to determine the best materials ...

AlmaBetter is a student-centric institute integrating risk-free AI education with better income opportunities. We are determined and relentless in providing you access to the best content and opportunities in the field of Data Science. AlmaBetter's Pro program is designed in such a way that it provides students with the best content in the market and optimal learning to become data scientists in a short span of time. Students enrolled in the pro program have the liberty to learn at their own pace and interact with India's #1 Data Science COMMUNITY to gain maximum learning outcomes. Curriculum for Data Science at AlmaBetter includes: • Module 1 : Python Programming for Data Science • Introduction to python • Python Advanced • Exploratory Data Analysis • Capstone Project - I • Module 2: Analytics Frameworks • Data Exploration using Excel • SQL for Data Science • Business Analytics • Module 3 : Maths for Data Science • Fundamental Statistics • Descriptive Statistics • Inferential Statistics • Module 4: Machine Learning • ML Appetizer • Linear Regression • Capstone Project- II • Classification Algorithms • Non Linear Algorithms • Capstone Project - III • Unsupervised Algorithms • Natural Language Processing • Recommender Systems • Time Series Regression • Capstone Project - IV • Module 5: Industry Insights • Guesstimate • Case Studies • Module 6: Machine Learning Engineering • ML Engineering - I • ML Engineering - II • ML Engineering - III • Module 7: Deep Learning • Neural Ne...

Students, We are elated to announce the timeline of AlmaX batches for the year 2023. Batch Name Start Date Last date to enroll DS-ProX24 16th January 2023 12th January 2023 DS-ProX25 13th February 2023 8th February 2023 DS-ProX26 13th March 2023 8th March 2023 DS-ProX27 10th April 2023 5th April 2023 DS-ProX28 15th May 2023 10th May 2023 DS-ProX29 12th June 2023 7th June 2023 DS-ProX30 10th July 2023 5th July 2023 DS-ProX31 14th August 2023 9th August 2023 DS-ProX32 11th September 2023 6th September 2023 DS-ProX33 9th October 2023 4th October 2023 DS-ProX34 13th November 2023 8th November 2023 • We will not start the AlmaX batch in the month of December because of the unavailability of coaches. Steps to enroll in the upcoming cohort. Step 1 Complete all the prerequisites for AlmaX within 12 months of enrolment. Refer here for more information. Step 2 Verify and update your profile with the latest details about you on this link . Step 3 Once the above steps are completed, you'll get the option to attempt the AB-CAT test in the "Career Tab" on your dashboard • Allocation of the ProX batch will be done based on the date of the AB-CAT conducted and the last date of enrolment. For example: To enroll in the ProX22 batch, a student has to clear the AB-CAT on or before the 21st of Oct, 2022 which is the last date of enrolment for this batch. Students who are clearing tests after the 21st of Oct, 2022 will be eligible for the ProX23 batch. • Students who have previously appeared fo...

Fully refundable program fee The entire fee paid for Pro program is fully refundable upon completion of Pro program. The learning cost for any student is effectively ZERO. Resume free pro tour • Why do we charge nominal program fee? We are investing heavily in providing the best-in-class learning experience for our Pro program students. In order to encourage serious candidates, and keep the students motivated throughout the program, we charge a nominal program fee(security deposit) that is refundable upon completion of the program. • When is the program fee refunded? The program fee is fully refunded if any of these criteria is met: 1. The student completes the Pro program and earns the Pro program certification. 2. If the student lands a job offer in the domain of Data Science while he or she is still pursuing the Pro program. • How do we ensure optimal learning at ZERO effective cost? We at AlmaBetter believe in democratizing quality education. We have allocated INR 2 crore fund to train motivated individuals. Our mission has been covered by One program for all your needs! - Fully refundable program fee (security deposit) to filter non-serious candidates and better optimize learning resources - Entire program fee paid for Pro program is refunded once you complete the program and start your placement journey Resume free pro tour • Unlimited live lectures for all ongoing cohorts • Unlimited lecture recordings and materials • Personalized 1-on-1 mentorship with industry pro...

Students, We are elated to announce the timeline of AlmaX batches for the year 2023. Batch Name Start Date Last date to enroll DS-ProX24 16th January 2023 12th January 2023 DS-ProX25 13th February 2023 8th February 2023 DS-ProX26 13th March 2023 8th March 2023 DS-ProX27 10th April 2023 5th April 2023 DS-ProX28 15th May 2023 10th May 2023 DS-ProX29 12th June 2023 7th June 2023 DS-ProX30 10th July 2023 5th July 2023 DS-ProX31 14th August 2023 9th August 2023 DS-ProX32 11th September 2023 6th September 2023 DS-ProX33 9th October 2023 4th October 2023 DS-ProX34 13th November 2023 8th November 2023 • We will not start the AlmaX batch in the month of December because of the unavailability of coaches. Steps to enroll in the upcoming cohort. Step 1 Complete all the prerequisites for AlmaX within 12 months of enrolment. Refer here for more information. Step 2 Verify and update your profile with the latest details about you on this link . Step 3 Once the above steps are completed, you'll get the option to attempt the AB-CAT test in the "Career Tab" on your dashboard • Allocation of the ProX batch will be done based on the date of the AB-CAT conducted and the last date of enrolment. For example: To enroll in the ProX22 batch, a student has to clear the AB-CAT on or before the 21st of Oct, 2022 which is the last date of enrolment for this batch. Students who are clearing tests after the 21st of Oct, 2022 will be eligible for the ProX23 batch. • Students who have previously appeared fo...

Fully refundable program fee The entire fee paid for Pro program is fully refundable upon completion of Pro program. The learning cost for any student is effectively ZERO. Resume free pro tour • Why do we charge nominal program fee? We are investing heavily in providing the best-in-class learning experience for our Pro program students. In order to encourage serious candidates, and keep the students motivated throughout the program, we charge a nominal program fee(security deposit) that is refundable upon completion of the program. • When is the program fee refunded? The program fee is fully refunded if any of these criteria is met: 1. The student completes the Pro program and earns the Pro program certification. 2. If the student lands a job offer in the domain of Data Science while he or she is still pursuing the Pro program. • How do we ensure optimal learning at ZERO effective cost? We at AlmaBetter believe in democratizing quality education. We have allocated INR 2 crore fund to train motivated individuals. Our mission has been covered by One program for all your needs! - Fully refundable program fee (security deposit) to filter non-serious candidates and better optimize learning resources - Entire program fee paid for Pro program is refunded once you complete the program and start your placement journey Resume free pro tour • Unlimited live lectures for all ongoing cohorts • Unlimited lecture recordings and materials • Personalized 1-on-1 mentorship with industry pro...

AlmaBetter's robust curriculum is ideal for every data science enthusiast. The quality of content is impeccable, and the curriculum is structured to perfection for a seamless learning experience. We strive to provide you with the most detailed and updated Data Science educational program and diversify your skillset. We have also collaborated with multiple hiring partners to provide high paying jobs to the students. Let's discuss each module one by one: In the first module, you will learn the fundamentals of Python programming, understand various data structures in Python and get yourself familiar with object-oriented programming. Next, you will learn to do exploratory data analysis (which is almost 60% of what a Data Scientist does) using libraries such as NumPy and Pandas. Finally, you will learn to do Data Visualization using popular libraries such as Matplotlib and Seaborn. In the second module, you will be learning popular analytics tools such as SQL, Excel and Tableau. In the third module, you will learn all the essential mathematics required for Data Science. You will learn mathematical concepts such as Calculus, Linear Algebra, Probability & Statistics. These concepts will be covered through visual experiments and hence, even if you have not studied mathematics in the past, you will be able to understand all the concepts easily. In the fourth module, you will learn about a special class of Machine Learning algorithms known as Supervised machine learning, where you w...

In this blog, instead of getting into mathematics, we are going to cover the top 5 real-time use cases in the industry with respect to ANOVA. Don’t hesitate to refer to these examples when someone asks you for a real-time example of ANOVA. What is an ANOVA? ANOVA stands for Analysis of Variance. It is a statistical technique used to test whether there are significant differences between the means of two or more groups. The two most common types of ANOVAs are the one-way ANOVA and two-way ANOVA. A one-way ANOVA is used to determine how one factor impacts a response variable. For example, we might want to know if three different groups of students have different mean GPAs. To see if there is a statistically significant difference in mean GPAs, we can conduct a one-way ANOVA. A two-way ANOVA is used to determine how two factors affect a response variable and whether or not the two factors interact with the response variable. For example, we might want to know how different types of food and how different levels of metabolism impact average weight loss. We would conduct a two-way ANOVA to find out. There are different ANOVA tests like three-way ANOVA & four-way ANOVA which are not well known and are uncommon but we will not talk about them in much detail in this blog. Now, we will share four different examples of real-life applications of ANOVA with examples. Real-time Use Case #1 An ANOVA test would most likely be used in a manufacturing plant to determine the best materials ...